{"id":2781699,"url":"https://alion.io/job/weekday-data-scientist-6","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":110,"ghost_share":0,"stale_share":0.982,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-17T05:46:00Z"}},"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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":56000,"period":"year","method":"role_country_seniority_unknown","sample_n":141},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-17T13:07:29Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T22:43:52Z","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\nWe are looking for a talented and analytical Data Scientist to develop data-driven solutions, build predictive models, and translate complex datasets into actionable business insights. The ideal candidate will have strong foundations in statistics, machine learning, programming, and data analysis, along with the ability to solve real-world business problems using advanced analytical techniques.\nThis role offers the opportunity to work on meaningful data science initiatives, collaborate with cross-functional teams, and contribute to solutions that improve decision-making, operational efficiency, and business performance.\nRequirements\nKey Responsibilities\nAnalyse structured and unstructured datasets to identify patterns, trends, correlations, and business opportunities.\nPerform exploratory data analysis, data cleaning, transformation, and feature engineering to prepare datasets for modelling.\nDevelop, train, evaluate, and optimise machine learning models for predictive analytics and business problem-solving.\nApply statistical techniques and quantitative methods to support forecasting, classification, segmentation, and other analytical use cases.\nTranslate business requirements into well-defined data science problems and measurable model objectives.\nBuild reusable analytical workflows and maintain high standards of code quality, reproducibility, and documentation.\nEvaluate model performance using appropriate statistical metrics, validation techniques, and testing methodologies.\nCollaborate with data engineers and software developers to integrate models into applications, pipelines, and production environments.\nMonitor model performance, investigate inaccuracies, and recommend improvements to maintain reliability.\nCommunicate insights, model results, assumptions, and recommendations to technical and non-technical stakeholders.\nCreate visualisations, reports, and analytical summaries to support data-driven decision-making.\nIdentify opportunities to automate repetitive analytical tasks and improve data science workflows.\nStay updated on emerging machine learning techniques, analytical tools, and industry best practices.\nWhat Makes You a Great Fit\n2-5 years of relevant experience in data science, machine learning, advanced analytics, or a related quantitative field.\nStrong programming skills in Python, including experience with libraries such as Pandas, NumPy, and Scikit-learn.\nSolid understanding of statistics, probability, hypothesis testing, and machine learning fundamentals.\nHands-on experience with data preparation, exploratory analysis, feature engineering, and model evaluation.\nExperience developing and optimising predictive models for practical business applications.\nStrong SQL skills and familiarity with relational databases and data extraction techniques.\nExperience with data visualisation tools or libraries such as Matplotlib, Seaborn, Power BI, or Tableau is an advantage.\nFamiliarity with model deployment, APIs, cloud platforms, or machine learning pipelines is desirable.\nStrong analytical thinking, problem-solving skills, and attention to detail.\nAbility to explain technical concepts and communicate insights clearly to diverse stakeholders.\nA proactive mindset, intellectual curiosity, and the ability to manage multiple analytical tasks independently.\nA degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative discipline is preferred.","description_format":"text","description_chars":3494,"description_truncated":false,"requirements":{"experience_years_min":null,"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":[],"lifecycle":[{"event":"open","at":"2026-10-17T13:07:29Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:0","agency","win:early","comp:brand"],"computed_at":"2026-10-17T22:57:03Z"},"pay":null,"html_url":"https://alion.io/job/weekday-data-scientist-6","json_url":"https://alion.io/job/weekday-data-scientist-6.json","meta":{"generated_at":"2026-10-17T22:57:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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