Commercial Data Scientist

Задачи: — Deliver novel and impactful insights for client organizations using machine learning and AI technologies. — Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses. — Create data products from scratch and automate code for reuse by teammates and future projects. — Leverage extensive datasets to identify and classify behavioral patterns of medical professionals. — Operate effectively in a fast-paced environment to exceed client expectations. Требования: — At least 4 years of professional experience as a Data Scientist or related roles working with complex, high-volume, structured and unstructured datasets. — Prior experience in data science consulting at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., thriving in fast-paced environments. — Advanced knowledge of statistical concepts including exploratory data analysis, experimental design, and probability theory. — Deep understanding of modern machine learning techniques. — Proven ability to design, train, and evaluate large-scale production models using frameworks such as PyTorch or TensorFlow. — Advanced SQL proficiency with skills in writing and optimizing complex queries across multiple tables and data relationships. — Advanced Python skills including object-oriented programming, production-grade code design, and modern data science libraries. — Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training. — Excellent data visualization and storytelling abilities to translate technical insights into clear narratives for internal and client stakeholders. — Curious, fast learner with passion for data, continuous learning, and staying current with advances in machine learning research. Условия: — Total compensation anticipated between $119,333 and $172,800 depending on experience, skills, location, and internal equity. — Compensation package may include base salary, equity (where applicable), and annual bonus or incentive compensation (where applicable). — Comprehensive benefits package including medical, dental, vision insurance, 401(k) with company match, flexible paid time off, company holidays, paid parental leave, professional development opportunities, wellness and mental health resources, remote work support, and home office stipend (where applicable). — Flexible work arrangements with remote work options in the U.S., including Northeast cities and San Francisco headquarters. — Inclusive and diverse workplace committed to equal opportunity and reasonable accommodations during application or interview process.