Manager - Data Science & AI

5 days ago

Mumbai, India Talent Socio Full time

Responsibilities : - Project Leadership : Leads and implements the delivery and all aspects of engineering activities for data and analytic platforms/solutions.- Collaboration : Works closely with cross-functional teams and business stakeholders to develop roadmaps and shape solutions using standard technology stacks.- Building Analytics Pipelines : Designs and oversees the development of analytics pipelines, products, and insights for the Commercial Pharma domain.- Advanced Statistical Analysis : Utilizes advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and actionable insights from data.- Business Impact : Synthesizes analysis and data into meaningful recommendations to drive concrete strategic decisions for brand tactics and commercial strategy.- Innovation : Stays abreast of analytical trends and cutting-edge applications of data science and AI, championing the adoption of new techniques and tools.- Quality and Governance : Ensures best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance.- Adaptability and Flexibility : Demonstrates the ability to adjust and thrive in changing environments, embracing new tasks, and applying knowledge in diverse contexts.- Strong Communication : Exhibits effective communication skills for workplace interactions, including conveying ideas clearly and listening actively.- Positivity : Maintains a positive attitude, showing a willingness to work hard and learn, contributing to a harmonious work environment.- Self-Starter : Takes an active role in professional development; stays abreast of analytical trends and cutting-edge applications of data.Requirements : - Bachelor's, Master's, or PhD in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.- 6-8 years of experience in Data Science, Analytics, or AI/ML roles, preferably in commercial pharma, healthcare, or related industries.- Proficiency in programming languages such as Python, with exposure to OOPS concepts, Streamlit, Machine Learning, Deep Learning, and data visualization tools (including Plotly, Matplotlib, Seaborn, Tableau/Power BI, etc. ).- Familiarity with databases such as SQL and NoSQL, and experience with data manipulation libraries (e. g., Pandas, Numpy) and machine learning frameworks (e. g., scikit-learn, PyTorch).- Experience with large-scale distributed systems (e. g., PySpark, Snowflake).- Strong understanding of statistical analysis, hypothesis testing, and other advanced statistical analytics techniques.- Exposure to modern software development workflows (Git, CI/CD, Docker).- Storyboarding and experience with MS Office, SharePoint.- Familiarity with HCP engagement data, sales data, CRM platforms (e. g., Veeva), and omnichannel promotional metrics.- Experience in dashboard development, storyboarding, and data product management.- Ability to describe relevant caveats in data or models and how they relate to business questions.- Experience with pharma data and commercial analytics is highly desirable.- Track record of delivering business impact through analytics in pharma or related sectors. (ref:hirist.tech)

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