Senior Data Scientist
Senior Data Scientist
Posted today
SENIORITY
Senior
About the role
- Partner with business collaborators, analytics consulting, and client delivery teams to define analytical approaches and deliver solutions
- Design, develop, and deliver analytics solutions, including segmentation, targeting, and data-driven insights
- Apply statistical modeling and machine learning techniques to drive customer-level insights (e.g., churn, CLV, propensity, attribution)
- Design and analyze experiments (A/B testing, incrementality, causal inference) to measure marketing effectiveness and ROICommunicate complex analytical findings clearly to both technical and non-technical audiences
- Find opportunities to standardize analytics approaches through reusable methodologies and frameworks
- Collaborate closely with offshore data science teams, including task prioritization, work allocation, and quality assurance of analytical deliverables
- Provide technical guidance and mentorship to junior team members, ensuring consistency in methodology, coding standards, and analytical rigor
- Apply modern machine learning techniques and leverage emerging capabilities (e.g., Generative AI, advanced experimentation) where appropriate
- 6–10+ years of experience in data science, analytics, or a related quantitative field
- Strong foundation in statistical analysis, machine learning, and data modeling
- Experience working with large-scale data environments (e.g., Databricks, Spark)
- Proven ability to translate business problems into analytical solutions and actionable insights
- Experience working with distributed and offshore teams in a global delivery model
- Strong experience with experimental design and measurement (A/B testing, causal inference, marketing attribution)
- Familiarity with data visualization and storytelling techniques to communicate insights effectively
- Experience working with cloud-based data environments (Azure, AWS) and data pipelines is preferred
- Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field (PhD a plus)
- Hands-on coding experience in Python is required
- Exposure to MLOps concepts and model lifecycle management is a plus
- Familiarity with Generative AI / LLM applications for analytics and insights is a plus
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
