Senior Data Scientist

Description:

Experience Level:

• PhD with 2+ years analytical experience OR

• Master’s with 4+ years analytical experience

Commitment: Full-time only, no conflicting employment

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Key Responsibilities & Requirements:

• Hands-on GenAI/ML modeling with complex datasets; strong theoretical foundation in AI/ML

• Expertise in:

o Supervised/unsupervised learning

o Deep learning, reinforcement learning, federated learning

o Time series analysis, optimization, Generative AI

• Strong Python coding (functions, classes); production-ready software development

• Experience developing and deploying code in agile, AI product-focused teams

• Comfortable working in cloud/HPC environments (AWS, GCP, Databricks, Apache Spark)

• Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development

• Proficient with:

o Python (required), R (nice to have), Scala (bonus)

o SQL/NoSQL, Snowflake, cloud databases

• Excellent communication, data visualization, and storytelling skills

• Skilled in simplifying technical concepts for business stakeholders

• Team-oriented with ability to manage multiple priorities in fast-paced environments

• Familiarity with Tableau, Power BI, Plotly, Git/version control, APIs

Required:

• Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development

• Python (required)

• Minimum 2-4 years of experience depending on education level (refer to JD) - experience is not required in pharma/ biotech, will consider other industries, Google, etc.

• Nice to have/ Preferred Skills:

• Proficiency in R or Scala

o Experience in life sciences or healthcare

o Experience in global, complex organizations

o Exposure to tools like DataRobot, Dataiku, Alteryx