Senior Data Scientist || Remote | 12+ Years

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

API
Machine Learning (ML)
Data Warehouse
SQL
Python
Data Stack
Web Stack
Data scientist

Job Details

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.

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.
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