{"id":3805382,"url":"https://alion.io/job/talentiser-data-scientist","title":"Data Scientist","company":{"id":3806728,"name":"Talentiser","domain":"talentiser.com","url":"https://alion.io/company/talentiser","size_band":"11-50","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":null,"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":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CatBoost","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-11-05T10:35:13Z","employer_posted_date":null,"last_verified_at":"2026-11-05T10:35:13Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Function: Data Science & Analytics - Data Science / Machine Learning, Other Data Science / Analytics\n\nCatBoost, LightGBM, PyTorch, Python, SQL, Scikit-learn, XGBoost\n\nRequirements:\n\n- 1 - 5 years in data science, ML or applied AI, including at least one model moved beyond a proof of concept.\n\n- Strong foundations: Python, SQL, pandas, NumPy, scikit-learn, statistics, feature engineering, imbalanced learning and model evaluation.\n\n- Modern model toolkit: XGBoost, LightGBM or CatBoost, plus PyTorch or TensorFlow for relevant deep-learning, NLP or computer-vision use cases.\n\n- Production mindset: Comfort with APIs or batch services, testing, Git, Docker and cloud/MLOps fundamentals; 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https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}