{"id":1511041,"url":"https://alion.io/job/shyftlabs-data-scientist","title":"Data Scientist","company":{"id":685982,"name":"Shyftlabs","domain":"shyftlabs.io","url":"https://alion.io/company/shyftlabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Matplotlib","optional":true},{"name":"PyTorch","optional":true},{"name":"Seaborn","optional":true},{"name":"Tableau","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-30T06:51:39Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T19:09:03Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Role Overview\nWe're looking for a Data Scientist to help turn our data into actionable insights and intelligent products. You'll work closely with engineering, product, and business teams to design experiments, build predictive models, and translate complex analysis into clear recommendations that drive decisions across the company.\nKey Responsibilities\nDesign, build, and validate machine learning models to solve business problems such as forecasting, segmentation, and recommendation\nPartner with product and engineering teams to translate business questions into well-scoped analytical problems\nConduct exploratory data analysis to uncover trends, patterns, and actionable insights in large datasets\nDesign and analyze A/B tests and other experiments to evaluate product and business decisions\nBuild and maintain data pipelines in collaboration with data engineering for reliable, reproducible analysis\nCommunicate findings clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations\nMonitor deployed models for performance and drift, and iterate as needed\nContribute to best practices around experimentation, model evaluation, and data quality\nRequirements\nPython\nPandas\nNumPy\nScikit-learn\nSQL\nStatistics & Experiment Design (A/B Testing)\nMachine Learning Model Development\nPreferred Skills\nData Visualization (Matplotlib/Seaborn/Tableau)\nTensorFlow\nPyTorch\nAWS SageMaker\nGCP Vertex AI\nAzure ML\nModel Deployment to Production\nMLOps (experiment tracking, model monitoring)\nDomain Expertise (finance/healthcare/e-commerce)\nStakeholder Communication\nQualifications\n3+ years of experience in a data science, applied ML, or quantitative analytics role\nStrong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL\nSolid grounding in statistics and experiment design, including A/B testing methodology\nExperience building and evaluating machine learning models for real-world problems\nAbility to communicate technical findings clearly to non-technical audiences\nExperience working with large datasets and writing efficient, production-quality analysis code\nFamiliarity with data visualization tools (Matplotlib, Seaborn, Tableau, or similar)\nBenefits\nCompetitive salary and performance-based bonuses\nFlexible working hours and remote/hybrid options\nHealth insurance and wellness benefits\nLearning and development budget\nA collaborative environment where your analysis directly shapes decisions","description_format":"text","description_chars":2443,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Health insurance"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-09-30T07:57:59Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":39,"reasons":["conf:10","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/shyftlabs-data-scientist","json_url":"https://alion.io/job/shyftlabs-data-scientist.json","meta":{"generated_at":"2026-10-02T01:33:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1899,"day_limit":5000,"remaining_today":3101,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}