{"id":3293801,"url":"https://alion.io/job/tekit-software-solutions-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3800742,"name":"TekIT Software Solutions","domain":"tekitsolution.com","url":"https://alion.io/company/tekit-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":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"Hadoop","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-26T18:36:13Z","employer_posted_date":null,"last_verified_at":"2026-10-26T18:36:13Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Position: Data Scientist\nExperience Required: 5+ Years\n Location: Bangalore\n\nAbout the Role\nWe are seeking a highly skilled Data Scientist with strong expertise in forecasting systems, operational research, and applied machine learning. The ideal candidate will have hands-on experience in building, deploying, and optimizing models in the AWS cloud environment, with a focus on time series forecasting and demand capacity planning.\nKey Responsibilities\nDesign, develop, and implement forecasting systems to improve demand prediction and operational capacity planning.\nApply theoretical models and transform them into practical, real-world solutions.\nPerform data analysis, feature engineering, and statistical modeling to extract insights and improve model accuracy.\nBuild, deploy, monitor, and update models in AWS using Amazon SageMaker pipelines, Docker containers, and other cloud-native tools.\nConduct exploratory data analysis and prepare data using SQL and Python.\nLeverage machine learning, statistical modeling, and optimization techniques to solve business problems.\nCollaborate with cross-functional teams including product, engineering, and operations to integrate models into production systems.\nContinuously improve models by monitoring performance and tuning parameters.\nRequired Skills & Qualifications\n5+ years of experience as a Data Scientist, preferably in forecasting systems and operational research.\n3+ years of hands-on experience with SQL and Python (scripting & data manipulation).\n3+ years of experience in machine learning/statistical modeling techniques and understanding of performance metrics.\n3+ years of experience with AWS cloud services, including deploying end-to-end ML products.\nPractical experience using Amazon SageMaker pipelines and Docker containers.\nStrong understanding of demand forecasting and its impact on operational capacity planning.\nKnowledge of time series models and deep learning techniques for time series (e.g., LSTMs, Transformers) is a strong asset.\nProven ability to apply theoretical models in real-world applications.\nPreferred Skills\nAdvanced degree (Master's/PhD) in Computer Science, Statistics, Applied Mathematics, or related field.\nExposure 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