Senior Data Science Lead - R01571450
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro Bangalore, senior ML lead title, and hybrid work create moderate competition among qualified candidates.
Advanced ML, time-series forecasting, and MLOps skills are transferable but favor data-driven enterprise environments.
Explicit 8-12 years requirement plus broad mandatory ML, statistical, and MLOps skills increases shortlist strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of advanced statistical and machine learning models to solve complex business problems and deliver actionable insights.
Develop and optimize predictive and forecasting models using techniques like exponential smoothing, ARIMA, and ARIMAX to improve forecasting accuracy.
Oversee end-to-end data science workflows including preprocessing, feature engineering, model deployment, and mentor team members on advanced data science tools and techniques.
Minimum Requirements
At least 8 years experience in data science, statistical modeling, and advanced analytics, with up to 12 years leading initiatives.
Mandatory skills: Python, PySpark, SAS or SPSS, TensorFlow, PyTorch, Sci-Kit Learn, R and R Studio, data validation tools (Great Expectations, Evidently AI).
Experience in hypothesis testing, regression techniques, time series forecasting, probabilistic graph models, and machine learning model deployment frameworks like KubeFlow and BentoML.
Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related field. Certifications in Data Science or Machine Learning preferred.
Ideal Candidate Profile
Experienced senior data scientist with a leadership track record in managing complex advanced analytics projects at scale.
Proficient in multiple programming and statistical tools (Python, PySpark, R, SAS/SPSS) and machine learning frameworks, with a hands-on approach to MLOps and model deployment.
Comfortable working cross-functionally to align data science solutions with business objectives and guiding teams in best practices and advanced techniques.
