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We are looking for you!
We are seeking a Senior Data Scientist to drive the next generation of data-driven solutions. This role calls for deep expertise in data architecture, advanced analytics, and pipeline design. If you are a seasoned professional ready to lead initiatives, innovate with cutting-edge techniques, and deliver impactful data solutions, we’d be excited to have you join our journey.
Contract type: Gig contract
Skills and experience you can bring to this role
Qualifications & experience:
* At least 3 years of commercial experience with Python, Data Stack (NumPy, Pandas, scikit-learn) and web stack (Fast API / Flask / Django);
* Familiarity with one or more machine learning frameworks (XGBoost, TensorFlow, PyTorch);
* Strong mathematical and statistical skills;
* Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
* Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
* Knowledge of Amazon Web Services (AWS) ecosystem (S3, Glue, Athena);
* Experience with at least one MMM or marketing analytics framework (e.g., Robyn, PyMC Merydian or similar);
* Strong communication skills to explain technical insights to non-technical stakeholders.
Nice to have:
* Knowledge of digital advertising platforms (Google Ads, DV360, Meta, Amazon, etc.) and campaign performance metrics;
* Exposure to clean rooms (Google Ads Data Hub, Amazon Marketing Cloud);
* Familiarity with industry and syndicated data sources (Nielsen, Kantar etc);
* Experience with optimisation techniques (budget allocation, constrained optimisation);
* Familiarity with gen AI (ChatGPT APIs/agents, prompt engineering, RAG, vector databases).
Educational requirements:
* Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred. A Master’s degree or higher is a distinct advantage.
What impact you’ll make
* Build and validate marketing measurement models (e.g., MMM, attribution) to understand the impact of media spend on business outcomes;
* Develop and maintain data pipelines and transformations to prepare campaign, performance, and contextual data for modelling;
* Run exploratory analyses to uncover trends, correlations, and drivers of campaign performance;
* Support the design of budget optimisation and scenario planning tools;
* Collaborate with engineers, analysts, and planners to operationalise models into workflows and dashboards;
* Translate model outputs into clear, actionable recommendations for client and internal teams.
What you’ll get
Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.
Your holistic well-being is central at Star. You’ll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.
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