Senior Data Scientist
Anblicks (company site, opens in a new tab)6–10 yrsHyderabadOn-siteDirect career pageEst. 18–28 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy machine learning and statistical models to solve complex business problems and generate actionable insights.
- Collaborate cross-functionally with business, product, engineering, and data teams to translate requirements and productionize ML models using scalable data pipelines.
- Monitor and optimize model performance and contribute to ML lifecycle initiatives including MLOps, automation, and continuous improvement.
Minimum Requirements
- 6–10 years of experience in Data Science, Machine Learning, or Advanced Analytics.
- Strong hands-on experience with Python, ML algorithms, feature engineering, model evaluation, and production deployment of ML models.
- Experience with ETL/ELT processes, handling large datasets, and familiarity with cloud platforms such as AWS, Snowflake, or Databricks.
- Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related field.
Ideal Candidate Profile
- Experienced in end-to-end ML solution development with a strong focus on productionizing models and building scalable data pipelines.
- Comfortable working in a collaborative environment involving Data Engineering, AI, and business teams to deliver measurable impact.
- Familiar with cloud data platforms and modern data engineering tools, with a preference for candidates skilled in Spark/PySpark and MLOps practices.