{"id":1279104,"url":"https://alion.io/job/bodmas-technologies-data-scientist","title":"Data Scientist","company":{"id":3800278,"name":"Bodmas Technologies","domain":"clicflyer.com","url":"https://alion.io/company/bodmas-technologies","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":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-08-26T08:31:18Z","employer_posted_date":null,"last_verified_at":"2026-08-26T08:31:18Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"description":"About Us :\n\nWe are a fast-growing retail analytics company working with leading FMCG brands and retailers across multiple markets. Our platform analyses promotional performance, pricing strategies, and customer engagement using large-scale retail datasets (EPOS, e-commerce, and flyer promotions).\n\nWe are building advanced analytics capabilities including Promotion impact measurement, Price elasticity modelling, Demand forecasting, Retailer & brand performance intelligence\n\nRole Overview :\n\nWe are looking for a high-impact Data Scientist who can work end-to-end - from messy retail data to actionable business insights.\n\nThis role is not just modeling - it requires strong business understanding of retail + hands-on data engineering + ML modeling + insight generation.\n\nKey Responsibilities :\n\n- Perform data preparation, exploratory analysis, and feature engineering\n\n- Analyse flyer promotions and retail campaigns (weekly/monthly) and build models for promotion uplift, baseline sales, cannibalization, and pricing intelligence (price elasticity, competitive pricing impact)\n\n- Develop and deploy machine learning models for demand forecasting, price optimization, and promotion effectiveness using features like price, discount, promo duration, seasonality, and competitor signals\n\n- Work with large-scale datasets and build data pipelines using SQL (BigQuery preferred) and Python, handling missing data, inconsistencies (packsize, SKU mapping), and time-series transformations\n\n- Design robust analytical methodologies for baseline estimation, stock-out adjustments, and promo overlap handling, while collaborating with business stakeholders to validate assumptions\n\n- Collaborate with engineers to move models from research into reliable, deployed workflows\n\nRequired Skills :\n\n- Degree in mathematics, statistics, economics, or a related technical discipline\n\n- 3+ years of experience in data analytics, data science, or a related analytical role\n\n- Strong foundation in Python for data analysis and SQL (BigQuery or similar) for querying and analysing large datasets\n\n- Solid understanding of analytics and modeling techniques including regression (especially log-log elasticity), time-series analysis, and exposure to causal inference\n\n- Strong analytical, problem-solving, and troubleshooting skills\n\n- Excellent communication skills with ability to engage stakeholders and leadership\n\nBonus (Strong Differentiator) :\n\nIf you've worked on :\n\n- Price elasticity modeling\n\n- Retail promotion analytics & optimization techniques\n\n- Large-scale SQL + ML pipelines\nSkills\nData Science, Data Scientist, Time Series Forecasting, Machine Learning, SQL, Python, BigQuery, Regression Modeling","description_format":"text","description_chars":2699,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Pricing 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