{"id":1227338,"url":"https://alion.io/job/medrisknet-data-scientist","title":"Data Scientist","company":{"id":2152188,"name":"MedRisk","domain":"medrisknet.com","url":"https://alion.io/company/medrisknet","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-10T05:45:15Z"}},"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":["Hyderabad, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenAI","optional":true},{"name":"PyTorch","optional":true},{"name":"Rest API","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-24T12:22:45Z","employer_posted_date":null,"last_verified_at":"2026-09-24T12:22:45Z","board_verified":false,"closed_at":null,"days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"Data Scientist - 6+ Years\n\nJob Summary :\n\nWe are looking for an experienced Data Scientist with 6+ years of experience in machine learning, statistical modelling, data analysis, and AI solutions. The candidate should have strong hands-on experience with Python, SQL, machine learning algorithms, NLP, and model development/deployment. Experience with Generative AI, LLMs, RAG, or cloud AI platforms is a strong plus.\n\nKey Responsibilities :\n\n- Develop and deploy machine learning and statistical models for business problems.\n\n- Perform data preprocessing, cleaning, feature engineering, and exploratory data analysis.\n\n- Apply supervised and unsupervised machine learning algorithms.\n\n- Build, evaluate, optimize, and monitor ML models.\n\n- Work with NLP, recommendation systems, and/or computer vision use cases.\n\n- Develop Generative AI/LLM solutions, including RAG and prompt engineering.\n\n- Perform model evaluation, benchmarking, and performance optimization.\n\n- Work with large datasets using Python and SQL.\n\n- Develop data pipelines and integrate ML models with production applications.\n\n- Collaborate with Data Engineers, ML Engineers, and business stakeholders.\n\n- Deploy AI/ML solutions on cloud platforms such as AWS, Azure, or Google Cloud.\n\nRequired Skills :\n\n- 6+ years of experience in Data Science / Machine Learning.\n\n- Strong Python programming skills.\n\n- Strong SQL and data manipulation skills.\n\n- Experience with Pandas, NumPy, Scikit-learn and ML frameworks.\n\n- Strong understanding of statistics and probability.\n\n- Experience with regression, classification, clustering, and ensemble techniques.\n\n- Experience in feature engineering and model evaluation.\n\n- Experience with NLP, recommendation systems, or computer vision.\n\n- Knowledge of ML lifecycle and model deployment.\n\n- Experience with cloud platforms and production ML systems.\n\nGood to Have :\n\n- Generative AI, LLMs, RAG, Agentic AI.\n\n- Prompt engineering and LLM evaluation.\n\n- Vertex AI / Azure OpenAI / AWS Bedrock.\n\n- TensorFlow or PyTorch.\n\n- Docker, Kubernetes, and REST APIs.\n\n- Experience with MLOps and CI/CD.\n\nEducation:\n\n- Bachelor's/master's degree in computer science, Data Science, Statistics, Mathematics, Engineering, or a related field.\nSkills\nData Science, Data 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