Data Scientist
Title: Data Scientist
Location: REMOTE
Duration: 12+ months
Job Description:
• Experience Level: PhD with 2+ years analytical experience OR Master’s with 4+ years analytical experience.
• Hands-on GenAI/ML modeling with complex datasets; strong theoretical foundation in AI/ML.
• Expertise in: Supervised/unsupervised learning.
• Deep learning, reinforcement learning, federated learning.
• 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.
• Proficiency with: Python (required), R (nice to have), Scala (bonus), SQL/NoSQL, Snowflake, and 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 is not required in pharma/ biotech, will consider other industries, Google, etc.
• Exposure to tools like DataRobot, Dataiku, Alteryx.
Title: Data Scientist
Location: REMOTE
Duration: 12+ months
Job Description:
• Experience Level: PhD with 2+ years analytical experience OR Master’s with 4+ years analytical experience.
• Hands-on GenAI/ML modeling with complex datasets; strong theoretical foundation in AI/ML.
• Expertise in: Supervised/unsupervised learning.
• Deep learning, reinforcement learning, federated learning.
• 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.
• Proficiency with: Python (required), R (nice to have), Scala (bonus), SQL/NoSQL, Snowflake, and 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 is not required in pharma/ biotech, will consider other industries, Google, etc.
• Exposure to tools like DataRobot, Dataiku, Alteryx.
