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Senior Data Scientist

Valtech
Sofia1w ago
Seniority
Senior

About the role

<p><span class="TextRun SCXW246265904 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW246265904 BCX0">Why Valtech?&nbsp;</span><span class="NormalTextRun SCXW246265904 BCX0">We’re</span> <span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW246265904 BCX0">the</span> <span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW246265904 BCX0">experience</span><span class="NormalTextRun SCXW246265904 BCX0"> innovation company </span><span class="NormalTextRun SCXW246265904 BCX0">- </span><span class="NormalTextRun CommentStart SCXW246265904 BCX0">a</span><span class="NormalTextRun SCXW246265904 BCX0"> trusted partner</span><span class="NormalTextRun SCXW246265904 BCX0"> to the world’s most recognized brands. To our people we offer </span><span class="NormalTextRun SCXW246265904 BCX0">growth opportunities, </span><span class="NormalTextRun SCXW246265904 BCX0">a </span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW246265904 BCX0">values</span><span class="NormalTextRun SCXW246265904 BCX0">-driven culture, </span><span class="NormalTextRun SCXW246265904 BCX0">international </span><span class="NormalTextRun SCXW246265904 BCX0">careers</span><span class="NormalTextRun SCXW246265904 BCX0"> and the chance to shape the future of experience.</span></span><span class="EOP CommentStart SCXW246265904 BCX0" data-ccp-props="{}">&nbsp;</span></p> <h3><strong><span data-contrast="auto">The opportunity</span></strong></h3> <p><span data-contrast="auto">At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">We are proud of:</span><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li><a href="https://www.valtech.com/work/?utm_source=greenhouse&amp;utm_medium=website&amp;utm_campaign=gl_ta_talent-acquisition_aw_ba_job_description_template&amp;utm_term=website-applicants&amp;utm_content=job-applicants_week192025" target="_blank"><span data-contrast="auto"><span data-ccp-charstyle="Hyperlink">The work we do and the innovation we drive</span></span></a><span data-ccp-props="{}">&nbsp;</span></li> <li><a href="https://www.valtech.com/career/our-values/?utm_source=greenhouse&amp;utm_medium=website&amp;utm_campaign=gl_ta_talent-acquisition_aw_ba_job_description_template&amp;utm_term=website-applicants&amp;utm_content=job-applicants_week192025" target="_blank"><span data-contrast="auto"><span data-ccp-charstyle="Hyperlink">Our values of share, care </span><span data-ccp-charstyle="Hyperlink">a</span><span data-ccp-charstyle="Hyperlink">nd dare</span></span></a><span data-ccp-props="{}">&nbsp;</span></li> <li><a href="https://www.valtech.com/valtech-as-workplace/?utm_source=greenhouse&amp;utm_medium=website&amp;utm_campaign=gl_ta_talent-acquisition_aw_ba_job_description_template&amp;utm_term=website-applicants&amp;utm_content=job-applicants_week192025" target="_blank"><span data-contrast="auto"><span data-ccp-charstyle="Hyperlink">A workplace culture that fosters creativity, diversity and autonomy</span></span></a><span data-ccp-props="{}">&nbsp;</span></li> <li><a href="https://www.valtech.com/about/offices/?utm_source=greenhouse&amp;utm_medium=website&amp;utm_campaign=gl_ta_talent-acquisition_aw_ba_job_description_template&amp;utm_term=website-applicants&amp;utm_content=job-applicants_week192025" target="_blank"><span data-contrast="auto"><span data-ccp-charstyle="Hyperlink">Our borderless, global framework, </span><span data-ccp-charstyle="Hyperlink">which enables </span><span data-ccp-charstyle="Hyperlink">seamless collaboration</span></span></a><span data-ccp-props="{}">&nbsp;</span></li> </ul> <h3><strong><span data-contrast="auto">The role&nbsp;</span></strong><span data-ccp-props="{}">&nbsp;</span></h3> <p><span data-contrast="auto">We are looking for an experienced Senior Data Scientist to drive advanced analytics, causal reasoning, and AI-powered decision intelligence across multiple use cases within our AI portfolio. This role goes beyond traditional modeling and focuses on building production-grade systems that combine predictive, causal, and generative AI capabilities to directly influence business outcomes.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><span data-contrast="auto">You will work at the intersection of data science, machine learning, and GenAI, turning complex data into actionable insights, automated decisions, and intelligent workflows across domains such as marketing, operations, forecasting, and optimization.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><span data-contrast="auto">This is not a purely retrospective analytics role. You will design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI into real-time or near-real-time decision-making pipelines.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><span data-contrast="auto">You will collaborate closely with data engineers, ML engineers, analysts, and platform teams, contributing to shared modeling standards and cross-functional AI architecture.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><strong style="font-size: 14px;"><span data-contrast="auto">Role responsibilities</span></strong></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Advanced Analytics &amp; Machine Learning</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="27" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)</span></li> <li data-leveltext="" data-font="Symbol" data-listid="27" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Apply statistical, predictive, and prescriptive modeling techniques to solve business problems</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="27" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Build reusable modeling frameworks that can scale across multiple domains</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Causal Inference &amp; Decision Intelligence</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="28" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)</span></li> <li data-leveltext="" data-font="Symbol" data-listid="28" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Translate observational and experimental data into actionable business insights</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="28" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Generative AI &amp; Intelligent Systems</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="29" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows</span></li> <li data-leveltext="" data-font="Symbol" data-listid="29" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Contribute to the development of intelligent agents and AI-assisted decision-making systems</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="29" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Combine structured data models with unstructured data and GenAI outputs</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Forecasting &amp; Optimization</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="30" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Build forecasting models (time-series, probabilistic, causal) to support planning and operations</span></li> <li data-leveltext="" data-font="Symbol" data-listid="30" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Develop optimization approaches for resource allocation, scheduling, or campaign performance</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="30" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Ensure models are explainable and actionable in business contexts</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Production &amp; Platform Integration</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="31" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Build and&nbsp;maintain&nbsp;production-grade data science solutions</span></li> <li data-leveltext="" data-font="Symbol" data-listid="31" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Collaborate with engineering teams to integrate models into scalable APIs and platforms</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="31" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Ensure robustness, monitoring, and lifecycle management of deployed models</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Cross-Functional Collaboration</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="32" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Partner with data engineering, analytics, and product teams to ensure data readiness and solution adoption</span></li> <li data-leveltext="" data-font="Symbol" data-listid="32" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Review and validate modeling approaches across teams (forecasting, experimentation, ML)</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="32" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Contribute to best practices in AI, ML, and data science within the organization</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <h3><strong><span data-contrast="auto">Must have qualifications</span></strong></h3> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Data Science &amp; Statistical Expertise</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="33" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Strong experience in machine learning, statistics, and applied data science</span></li> <li data-leveltext="" data-font="Symbol" data-listid="33" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Experience with causal inference, experimentation, or decision science methodologies</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="33" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Solid understanding of forecasting, optimization, or analytical modeling techniques</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Technical Skills</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="34" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Strong programming skills in&nbsp;</span><strong><span data-contrast="auto">Python and SQL</span></strong></li> <li data-leveltext="" data-font="Symbol" data-listid="34" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Experience building and deploying production-ready data science or ML systems</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="34" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Familiarity with model lifecycle management (training, deployment, monitoring)</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Cloud &amp; Platform Experience (Key Requirement)</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="35" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Hands-on experience with at least one major cloud platform:&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="35" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong style="font-size: 14px;"><span data-contrast="auto">Azure (preferred), AWS, or GCP</span></strong><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="35" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Domain &amp; Data Experience</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="36" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)</span></li> <li data-leveltext="" data-font="Symbol" data-listid="36" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Ability to translate business problems into analytical frameworks</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 4">Mindset</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:80,&quot;335559739&quot;:40,&quot;335559740&quot;:300}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="37" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Strong problem-solving skills with focus on business impact</span></li> <li data-leveltext="" data-font="Symbol" data-listid="37" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Ability to translate complex models into actionable decisions</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="37" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Strong collaboration and communication skills across technical and business teams</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <h3><strong><span data-contrast="auto">Nice to have qualifications </span></strong><span data-ccp-props="{}">&nbsp;</span></h3> <ul> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Deep experience in&nbsp;</span><strong><span data-contrast="auto">marketing analytics, attribution, or campaign measurement</span></strong></li> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Hands-on experience with: </span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;<br></span><span style="font-size: 14px;" data-contrast="auto">- Uplift modeling, geo experiments, synthetic control</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> <br></span><span style="font-size: 14px;" data-contrast="auto">- Marketing Mix Modeling (MMM)</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Experience with </span><strong style="font-size: 14px;"><span data-contrast="auto">GenAI frameworks</span></strong><span style="font-size: 14px;" data-contrast="auto">&nbsp;(e.g.,&nbsp;LangChain,&nbsp;LangGraph, RAG architectures, agent frameworks)</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Familiarity with </span><strong style="font-size: 14px;"><span data-contrast="auto">data engineering tools</span></strong><span style="font-size: 14px;" data-contrast="auto">&nbsp;(e.g., Spark, Airflow,&nbsp;dbt)</span><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Experience with platforms such as </span><strong style="font-size: 14px;"><span data-contrast="auto">Snowflake, Fabric, or&nbsp;BigQuery</span></strong><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Exposure to advanced </span><strong style="font-size: 14px;"><span data-contrast="auto">time-series methods and probabilistic forecasting</span></strong><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}"> </span></li> <li data-leveltext="" data-font="Symbol" data-listid="38" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 14px;" data-contrast="auto">Experience working in </span><strong style="font-size: 14px;"><span data-contrast="auto">Agile, product-led, or consulting environments</span></strong><span style="font-size: 14px;" data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:300}">&nbsp;</span></li> </ul> <h3><strong><span data-contrast="auto">Commitment to reaching all kinds of people</span></strong><span data-ccp-props="{}">&nbsp;</span></h3> <p><span data-contrast="auto">We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. </span><a href="https://www.valtech.com/about/diversity-inclusion/" target="_blank"><span data-contrast="none"><span data-ccp-charstyle="Hyperlink">Explore our Diversity &amp; Inclusion site</span></span></a><span data-contrast="auto">&nbsp;to see how we’re creating a more equitable Valtech for all.</span><span data-ccp-props="{}">&nbsp;</span></p> <h3><strong><span data-contrast="auto">The benefits </span></strong><span data-ccp-props="{}">&nbsp;</span></h3> <p><span data-contrast="auto">Beyond a competitive compensation package, we offer:</span><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li><span data-contrast="auto">Flexibility, with hybrid work options and 25 vacation days&nbsp;</span>for a healthy work-life balance.</li> <li>Co-subsidized transportation &amp; Multisport cards.</li> <li>Premium health insurance for fast and easy access to top healthcare services.</li> <li>Training policy for technical and other skills-related events, courses and certifications.</li> <li>Personal career development roadmap guided by performance evaluations.</li> <li>Self-care program offering psychological consultations &amp; discussions for you and the team.</li> <li>Cozy office space designed for comfort and productivity.</li> <li>Exciting team events and company gatherings.</li> </ul> <h3><strong><span data-contrast="auto">Your application process</span></strong></h3> <p><span data-contrast="auto">Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.</span></p> <p><span data-contrast="auto">⚠️ Beware of recruitment fraud!</span></p> <p><span data-contrast="auto">We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.</span><span data-ccp-props="{}">&nbsp;</span></p> <h3><strong><span data-contrast="auto">About Valtech</span></strong></h3> <p><span data-contrast="auto">Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&amp;G, Volkswagen Dolby, and more.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">Are you ready to create what’s next? Join us.</span></p>

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