Senior Data Science Engineer

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.



Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.

We look for people who embody:

Innovation to solve the hardest problems.

‍Accountability for every result.

‍Integrity always.

Core Responsibilities

• Strong grasp of statistics and probability fundamentals
• Solid understanding of machine learning algorithms for supervised and unsupervised learning
• Understanding of Transformer based models
• Experience developing AI agents
• Strong Python and SQL skills
• Experience with Cloud ML tools and version control (e.g. git)
• Experience with MLOps
• Collaborative, proactive, logical, methodical, and attentive to detail
• Excellent communication skills (verbal and written)
• Collaborate with clients to understand their business problems and design technical solutions using machine learning models
• Develop and deploy machine learning models on Google Cloud
• Use version control and agile working practices
• Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.

Requirements

Essential Skills and Experience:

• Demonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationships
• Provides valuable feedback and acknowledges achievements in a constructive manner
• Utilizes diverse influencing techniques to achieve goals
• Possesses exceptional conflict resolution skills and can effectively negotiate in difficult situations
• Maintains a delicate balance between personal and team objectives
• Displays sensitivity to the needs of others and readily offers assistance when needed
• Capable of independently developing data solutions using appropriate tools and techniques
• Exhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areas
• Adept at evaluating and incorporating new technologies into existing solutions
• Provides expert advice and support to customers in defining effective solutions
• Skillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders

Nice to have:

• Experience with data vectorization and emerging vector-based technologies.
• Knowledge of GCP data and ML services.

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Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

Compensation and Financial Wellbeing

• Competitive base salary.
• De Minimis Allowance. 
• 13th Month Pay: Equivalent to one month’s base salary, paid every December.

Health and Wellness

• Medical Insurance: HMO coverage for the employee plus up to two dependents (employer-paid).
• Sick Leave: 15 paid days per year, pro-rated from the start date.

Work-Life Balance and Growth

• Annual Leave: 28 days per calendar year (January 1 – December 31), pro-rated based on start date.
• Birthday Leave: An extra paid day off for your birthday. 
• Learning Leaves: Ten paid learning days per year.
• Philippine Public Holidays: Statutory holidays are included. 
• Bereavement Leave: 3 paid days.
• Parental Leave: Maternity or Paternity leave.
• Flexible Work Arrangement: Hybrid model (two to three days in the office).
• Peer Recognition: 100 Bonusly points per month for peer recognition.

Diversity and Inclusion

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.