{"id":4091404,"url":"https://alion.io/job/novac-technology-solutions-data-scientist","title":"Data Scientist","company":{"id":4535216,"name":"Novactech","domain":"novactech.com","url":"https://alion.io/company/novactech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Apache Kafka","optional":true},{"name":"LLM","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-11T17:23:24Z","employer_posted_date":null,"last_verified_at":"2026-11-11T17:23:24Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Greatings from Novac!\n\nWe are seeking a skilled Data Scientist with 2–4 years of experience to build scalable data solutions, develop machine learning models, and transform complex data into actionable business insights. The ideal candidate should have a strong foundation in data engineering, analytics, statistics, and machine learning.\n\nLocation: Chennai\nExperience: 2–4 Years\nEmployment Type: Full-Time\n\nRequired Skills\nStrong proficiency in Python and SQL\nExperience designing and developing ETL/ELT pipelines\nHands-on experience with data processing frameworks such as Apache Spark\nExperience with relational and NoSQL databases\nStrong understanding of data warehousing, data lakes, and dimensional modeling\nExperience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud\nExperience with workflow orchestration tools such as Apache Airflow\nProficiency in data analysis using Pandas and NumPy\nExperience building and deploying machine learning models using Scikit-learn\nStrong knowledge of statistics, probability, hypothesis testing, and predictive analytics\nExperience with feature engineering, model evaluation, and model optimization\nData visualization experience using Power BI or Tableau\nExperience with version control using Git\nUnderstanding of data quality, governance, and security best practices\nExperience in Insurance and Lending domains will be preferred\n\nGood to Have\nExperience with Databricks\nKnowledge of Apache Kafka and real-time data pipelines\nExposure to TensorFlow or PyTorch\nExperience with MLOps and model deployment\nKnowledge of Generative AI and LLM-based applications\n\nKey Responsibilities\nDesign, build, and maintain scalable data pipelines and data platforms\nCollect, clean, transform, and analyze large datasets\nDevelop and deploy machine learning models to solve business problems\nCreate dashboards, reports, and data visualizations for stakeholders\nOptimize data workflows and ensure data quality and reliability\nCollaborate with business, product, and engineering teams to deliver data-driven solutions\nMonitor, maintain, and improve production data and ML 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