Data Scientist

Data Scientist

93_8750

Obowiązki

• Algorithm Design and Prototyping: Design, develop, and validate predictive and analytical algorithms for CGM data. Develop robust code using advanced ML and statistical techniques to prove technical feasibility.
• Feasibility and Ideation: Understand patient needs and creatively model potential algorithmic approaches using real-world sensor data.
• Data Pipeline and Feature Engineering: Apply expertise in processing and managing heterogeneous time series data originating from medical devices. Execute rigorous data cleaning, imputation, transformation, and sophisticated feature engineering.
• Technical Execution and Modeling: Build and optimize machine learning models (e.g., XGBoost, Neural Networks, etc.). Write high-quality, efficient, and reproducible Python code for data analysis, modeling, and experimentation.
• Collaboration: Provide technical guidance within an Agile team framework to junior data science colleagues. Work effectively within a multidisciplinary, distributed team to translate project goals into actionable data science tasks.
• Communication and Reporting: Synthesize complex technical results and present clear feasibility findings to diverse stakeholders.

Wymagania

• Minimum of 5+ years of hands-on experience as a Data Scientist or Machine Learning Engineer.
• Demonstrated experience or robust academic background (Master or PhD is highly desirable) in Data Science, Machine Learning, Statistics, or a related quantitative field.
• Strong Statistical Foundation: Solid grasp of statistical principles, experimental design, and model validation techniques.
• Advanced Python Proficiency: Strong proficiency in Python and its core data science ecosystem: Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and XGBoost/LightGBM.
• Time Series Data: Practical experience with the processing, analysis, and modeling of time series data from physical sensors or monitoring devices.
• Additional Desirable Qualifications: Medical Domain Knowledge: Prior experience working with medical data, specifically in diabetes management (CGM/BGM), exercise physiology, or clinical nutrition data. Regulated Environment: Familiarity with the requirements and processes for software development in a regulated medical device environment. Big Data Tools: Experience with distributed computing frameworks like PySpark for handling very large datasets.

Oferujemy

• Ongoing support from a dedicated agent, taking care of your project continuity, client contact, necessary formalities, work comfort and development,
• Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors,
• Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle
• Spectacular integration events, both for you (e.g., annual Kick-Off trip, Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres),
• Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients,
• Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years,
• A complete benefits package, including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad.

Źródło: 7n/Praca

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