Remote Data Scientist

Join Our Team as a Senior Data Scientist!

We are looking for 4 skilled Senior Data Scientists for a global technology company executing a major data projects for a pharmaceutical client.

About the offer:

• Sallary up to 135 PLN net plus VAT per hour on a B2B contract;
• 100% remote work environment;
• Long-term cooperation;
• Collaborate in English with a global team;
• Be part of innovative projects that make a significant impact.

Position 1: Senior Data Scientist with Market Mix Modeling Experience

About the Project: Collaborate with the client's Data Science team to enhance Marketing Effectiveness through Marketing Mix Modelling, Multi-Touch Attribution, and other analytical models.

Technical Requirements:

• Minimum of 5 years in developing and implementing Marketing Mix Models.
• Expertise in Python and familiarity with R for MMM models.
• In-depth knowledge of statistical modeling and machine learning techniques.
• Extensive experience with regression-based models in the context of MMM.
• Proficiency in probabilistic programming and Bayesian methods.
• Skilled in mining large and complex datasets using SQL and Spark.
• Strong grasp of statistical modeling techniques and their mathematical foundations.
• Working knowledge of Pymc and cloud-based data science frameworks, preferably Azure.
• MS or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a related field.

Main Responsibilities:

• Oversee data collection, extraction, manipulation, analysis, and validation.
• Examine datasets for KPI comprehension and model readiness.
• Use Excel, SQL, Python, and Pandas for data processing and model building.
• Develop and enhance base models, incorporating KPI drivers and justifying variable selection.
• Create sales effect and ROI workbooks, response curves, and optimization charts.
• Conduct budget allocation and scenario analysis for forward-looking optimization.
• Validate models, identify weaknesses, propose improvements, and ensure robustness and validity.

Position 2: Senior Data Scientist with Time Series Experience

About the Project: Aid in the development and global implementation of a high-priority strategy focused on optimizing sales planning to drive business growth. Work closely with the Principal Data Scientist and a dynamic team, including Data Scientists, ML Engineers, and Data Engineers.

Technical Requirements:

• MSc or higher in a STEM field.
• Proven experience in creating and deploying machine learning models.
• Expertise in conceptualizing, formulating, prototyping, and implementing algorithms for business challenges, including time series forecasting.
• Minimum of 5 years of OOP development experience with Python, including popular libraries like lme4, statsmodels, sktime, and lightgbm.
• Strong familiarity with the complete SDLC process.
• Proficient in Agile methodologies and a hypothesis-driven approach.

Nice to Have:

• Experience with cloud platforms, particularly Azure, and optimization libraries like Gurobi.
• Knowledge of robust programming and graceful exit strategies.
• Familiarity with CICD pipelines and version control systems like git.
• Deep understanding of statistical modeling techniques and applied ML algorithms.

Main Responsibilities:

• Collaborate with the team to develop, optimize, and implement counterfactual and promotional optimization models.
• Produce high-quality and robust code.
• Aid in improving and scaling the codebase.
• Provide mentorship and skill development for junior team members.