{"id":128859,"url":"https://alion.io/job/blend360-sr-data-scientist-customer-analytics","title":"Sr Data Scientist - Customer Analytics","company":{"id":4305,"name":"Blend360","domain":"blend360.com","url":"https://alion.io/company/blend360","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":64,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"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":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-27T09:08:41Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-30T05:33:03Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"About Blend\nBlend is a global technology and data consulting organization helping leading enterprises solve complex business challenges through data, AI, and technology. Our teams work closely with clients to build practical, scalable solutions that create measurable business impact.\n About the Role\nWe are looking for a Senior Data Scientist to join a customer analytics engagement. In this role, you will apply machine learning, statistical modeling, and customer analytics to help the client better understand customer value, customer behavior, and movement across value segments.\nYou will work on problems involving customer lifetime value, customer segmentation, value transitions, causal analysis, and early-stage next-best-action recommendations.\nThis is an evolving engagement, so we are looking for someone who combines strong technical data science skills with business judgment, curiosity, and a proactive approach to solving ambiguous problems.\nWhat You'll Do\nBuild and apply machine learning models to classify customers into low-, medium-, and high-value segments and estimate transitions between these states.\nDevelop Customer Lifetime Value (CLV) and customer value models to estimate current and future customer value.\nAnalyze customer behavioral and transactional data to identify patterns, drivers, and opportunities to strengthen long-term customer relationships.\nApply causal modeling, experimentation, and related analytical techniques to understand which customer behaviors or interventions influence customer value.\nContribute to an initial Next Best Action (NBA) proof of concept to identify strategic opportunities for customer engagement and personalization.\nDevelop customer segmentation and behavioral models to identify meaningful customer groups and their characteristics.\nTranslate business and marketing questions into practical data science and machine learning approaches.\nPerform exploratory data analysis, feature engineering, model development, validation, and interpretation.\nCommunicate analytical findings and model outputs clearly to both technical and non-technical stakeholders.\nCollaborate with Data Scientists and Data Engineers to leverage data from a unified customer record.\nWork in an evolving client environment, proactively identifying opportunities, proposing analytical approaches, and adapting to changing business priorities.\nConnect technical analysis to business outcomes and help stakeholders understand why the model or analysis matters.\n What We're Looking For\nRequired\n3+ years of hands-on Data Science / Machine Learning experience.\nStrong programming skills in Python.\nStrong SQL skills and experience working with large datasets.\nHands-on experience developing and applying machine learning models to business problems.\nStrong understanding of:Predictive modeling\nFeature engineering\nModel evaluation\nStatistical analysis\nCustomer/behavioral analytics\n\nExperience with one or more of:Customer segmentation\nCustomer Lifetime Value / customer value modeling\nCustomer behavior modeling\nChurn / retention modeling\nPropensity modeling\nCausal modeling\nA/B testing / experimentation\nUplift modeling\nNext Best Action / recommendation approaches\n\nAbility to translate complex analytical problems into practical solutions and communicate insights clearly.\nStrong business judgment and ability to connect analytical outputs to measurable business outcomes.\nComfortable working with ambiguity and evolving requirements.\nStrong collaboration and stakeholder management skills.\nPreferred Qualifications\nExperience in customer analytics, marketing analytics, consumer analytics, loyalty, or CRM analytics.\nExperience working with transactional and behavioral customer data.\nExperience with customer value segmentation or movement between customer segments.\nExperience with causal inference, uplift modeling, experimentation, or treatment-effect analysis.\nExperience with propensity models, personalization, recommendations, or next-best-action frameworks.\nExperience in Retail, CPG, Consumer, E-commerce, Loyalty, or Marketing Analytics.\nExperience with PySpark, Databricks, AWS, Azure, or other cloud/data platforms.\nExperience communicating analytical recommendations to senior business stakeholders.\n What Success Looks Like\nIn this role, success means being able to move beyond simply building models. You will be expected to:\nUnderstand the business problem behind the analytical request.\nBuild models that provide meaningful insight into customer value and behavior.\nIdentify what causes or contributes to changes in customer value.\nTranslate analytical findings into clear business recommendations.\nProactively identify opportunities to improve the customer analytics approach.\nWork effectively with Data Scientists, Data Engineers, and client stakeholders as the engagement evolves.\nWhy Blend\nAt Blend, you will have the opportunity to work on meaningful, real-world data science problems with leading global organizations. You will collaborate with experienced data scientists, engineers, and business stakeholders while solving problems where technical depth, business thinking, and the ability to operate in ambiguity are equally important.","description_format":"text","description_chars":5202,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-08-27T09:08:41Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.285,"p_room":0.28,"age_days":63,"expected_fill_days":17,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/blend360-sr-data-scientist-customer-analytics","json_url":"https://alion.io/job/blend360-sr-data-scientist-customer-analytics.json","meta":{"generated_at":"2026-10-30T09:01:32Z","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 call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12893,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4305},"rest":"https://alion.io/mcp/rest/get_company?id=4305"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fblend360-sr-data-scientist-customer-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fblend360-sr-data-scientist-customer-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fblend360-sr-data-scientist-customer-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/blend360-sr-data-scientist-customer-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fblend360-sr-data-scientist-customer-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":128859}},{"tool":"search_jobs","arguments":{"company":"blend360.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":128859},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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