{"id":2444696,"url":"https://alion.io/job/kanini-software-solutions-data-scientist-2","title":"Data Scientist","company":{"id":3800175,"name":"KANINI Software Solutions","domain":"kanini.com","url":"https://alion.io/company/kanini-software-solutions","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":"senior","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","Pune, India","Coimbatore, 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complex business problems, and deploying production-ready ML solutions.\n\nKey Responsibilities:\n\n- Design, develop, and deploy machine learning models for classification, regression, forecasting, and predictive analytics.\n\n- Build scalable ML solutions using Python and libraries such as Scikit-learn, TensorFlow, and PyTorch.\n\n- Perform data preprocessing, feature engineering, exploratory data analysis, and statistical analysis.\n\n- Develop and optimize algorithms to improve model accuracy, performance, and scalability.\n\n- Apply supervised, unsupervised, and deep learning techniques to solve business problems.\n\n- Deploy and monitor machine learning models in production environments.\n\n- Build end-to-end ML pipelines and collaborate with data engineering teams for data integration.\n\n- Use model evaluation techniques, validation methods, and performance metrics to ensure reliability.\n\n- Collaborate with business and cross-functional teams to translate requirements into actionable data science solutions.\n\n- Follow software engineering best practices and Agile delivery methodologies.\n\nMandatory Skills:\n\n- 8+ years of experience in Data Science, Machine Learning, or related fields.\n\n- Strong hands-on expertise in Python programming.\n\n- Excellent understanding of machine learning algorithms, statistical modelling, and predictive analytics.\n\n- Experience with Scikit-learn, TensorFlow, PyTorch, or similar ML frameworks.\n\n- Strong knowledge of data preprocessing, feature engineering, model evaluation, and optimization.\n\n- Experience developing and deploying production-grade machine learning models.\n\n- Proficiency in SQL and working with large datasets.\n\n- Strong analytical, problem-solving, and communication skills.\n\n- Experience working in an Agile environment.\n\nGood to Have:\n\n- Experience with deep learning, NLP, or Generative AI.\n\n- Exposure to cloud platforms such as GCP, AWS, or Azure.\n\n- Experience with MLOps, model monitoring, CI/CD, and ML pipeline automation.\n\n- Knowledge of big data technologies such as Spark and Databricks.\n\n- Experience building scalable enterprise-level ML solutions.\nSkills\nData Science, Analytics, Data Analytics, Machine Learning, Data Scientist, Python, Predictive Analytics, Data Modeling","description_format":"text","description_chars":2528,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-13T13:12:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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