{"id":1498605,"url":"https://alion.io/job/algoleap-data-scientist-analytics-d297","title":"Data Scientist ( Analytics ) _ D297","company":{"id":3800168,"name":"Algoleap","domain":"algoleap.com","url":"https://alion.io/company/algoleap-technologies","size_band":"1001-5000","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":"middle","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":16500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CatBoost","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"XGBoost","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Hadoop","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-30T02:42:47Z","employer_posted_date":null,"last_verified_at":"2026-09-30T02:42:47Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Mandatory\n\n 4+ years of experience in the field of Data Science and Analytics preferably in CPG or Manufacturing Domain\nBachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field\nStrong programming skills and experience in using Python for Data Science\nStrong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed\nDeep Knowledge of statistical and machine learning algorithms for Time Series Forecasting\nExperience in time series forecasting at scale (Like XG Boost, CatBoost, Light GBM , Neural Networks etc)\nExperience in custom EDA (Exploratory Data Analysis) and Output Validations\nExperience in building scalable ML frameworks for demand sensing including Identifying and collecting relevant input data, feature engineering, tuning, and testing.\nExperience in applied analytical methods in the field of Supply chain and planning like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.\nStrong presentation and communications skills\n\nNice To Have\n\no9 Platform Experience\nExperience with SQL, databases and ETL tools or similar is optional but preferred\nExposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark or related Bid Data technologies\nExperience in implementing supply chain planning applications will be a plus\n\nWhat You Will Do\n\nDesign and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the supply chain planning space.\nUnderstand business; identify areas of improvement opportunities; collect and analyze data; build models in Python; and present results & insights using the o9 platform.\nApply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series etc.) to their real-world advantages/drawbacks\nDevelop and deploy models for demand sensing/forecasting, Anomaly detection, Simulation and stochastic models, Market Intelligence etc\nUse latest advancements in AI/ML to solve business problems\nAnalyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons\nApplication of common business metrics and the ability to generate new ones as needed\nWork collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects","description_format":"text","description_chars":2491,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Science & Engineering","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-09-30T03:00:00Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":24,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/algoleap-data-scientist-analytics-d297","json_url":"https://alion.io/job/algoleap-data-scientist-analytics-d297.json","meta":{"generated_at":"2026-10-02T00:15:03Z","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":79,"day_limit":5000,"remaining_today":4921,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}