{"id":4186058,"url":"https://alion.io/job/weekday-data-scientist-11","title":"Data Scientist","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":117,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"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","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false}],"status":"live","first_seen_at":"2026-11-12T18:17:58Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T07:56:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"'\n: - ( - )\nExperience: 2+ yrs\nLocation: Bengaluru, Chennai\nAs a Data Scientist, you will lead the design, development, and deployment of predictive models that drive business decisions across diverse domains. You will collaborate with cross-functional teams to transform raw data into actionable insights, applying cutting-edge machine learning techniques such as KNN, Naïve Bayes, and SVM while maintaining rigorous statistical rigor. Your deep expertise in Python and data manipulation libraries will be essential for building robust pipelines, optimizing model performance, and ensuring reproducibility. You will also mentor junior analysts, present findings to stakeholders, and continuously evaluate emerging technologies to keep the organization at the forefront of data innovation.\nRequirements\nDevelop and validate predictive models using machine learning algorithms (KNN, Naïve Bayes, SVM).\nPerform comprehensive statistical analyses to uncover patterns and test hypotheses.\nDesign and maintain scalable data pipelines using Python and related libraries.\nCollaborate with product and engineering teams to integrate models into production systems.\nConduct feature engineering and selection to enhance model accuracy and efficiency.\nEvaluate and benchmark model performance against industry standards.\nDocument methodologies, model assumptions, and results for reproducibility.\nPresent complex findings in clear, actionable terms to non-technical stakeholders.\nStay updated on the latest research in machine learning and data science.\nMentor junior data scientists and analysts, fostering a culture of continuous learning.\nBachelor’s or Master’s degree in Computer Science, Statistics, or a related field.\n2+ years of professional experience in data science or analytics roles.\nStrong proficiency in Python, including libraries such as scikit-learn, pandas, and numpy.\nHands-on experience with KNN, Naïve Bayes, and SVM algorithms in real-world projects.\nSolid understanding of statistical testing, hypothesis formulation, and data interpretation.\nAbility to build and deploy machine learning models in production environments.\nExcellent problem-solving skills with a data-driven mindset.\nStrong communication skills and the ability to translate technical insights to business stakeholders.\nProven track record of collaborating with cross-functional teams to achieve project goals.\nPassion for continuous learning and staying abreast of industry 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