{"id":4004155,"url":"https://alion.io/job/apple-data-scientist-2","title":"Data Scientist","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":93,"open_postings":358,"ghost_share":0.008,"stale_share":0.022,"repost_share":0.064,"time_to_fill_p50_days":122,"computed_at":"2026-11-10T06:52:35Z"}},"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Plotly","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Git","optional":true},{"name":"Haystack","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangSmith","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"TruLens","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-11-10T05:23:33Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T06:02:27Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers.\nApple's US Decision Intelligence (DI) team is looking for a talented individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers. As a US Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal stakeholders, leveraging sales performance data, market data, programs, external data, etc.\nDescription\nThis role will operate in both capacities, to augment existing data solutions, as well as innovate and trailblazing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.\nIn this role, you will build and scale the automated insight pipeline that powers our sales organization. You'll develop ML models that detect opportunities, diagnose performance issues, and recommend actions-then embed these insights into AI agents, dashboards, and GenAI-powered tools used by sales teams.\nMinimum Qualifications\n4+ years of experience in a Data Science, Data Analysis, or Data Visualization role.\nHands-on experience with LLMs, RAG architectures, and prompt engineering.\nStrong proficiency in Python and ML/data science libraries.\nApplied knowledge of statistical data analysis, predictive modeling, classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.\nProficiency in SQL and experience with cloud data platforms (Snowflake, Spark, BigQuery, etc.)\nExpertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.\nExperience with Git and collaborative development workflows.\nFamiliarity with deployment frameworks and tools (Docker, Kubernetes, FastAPI, or similar).\nComfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.\nProven ability to translate business problems into technical solutions and communicate findings to non-technical stakeholders.\nExperience co-developing with data scientists and software engineers in production environments.\nStrong time management skills with the ability to collaborate across multiple teams.\nAble to balance competing priorities, long-term projects, and ad hoc requirements.\nBachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.\nPreferred Qualifications\nProduction experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, etc.)\nFamiliarity with LLM observability and evaluation tools (LangSmith, Weights & Biases, TruLens, etc.)\nExperience with vector databases, embedding models, and retrieval algorithms\nKnowledge of agent architectures and knowledge graphs for LLM applications\nExperience with CI/CD pipelines and MLOps practices\nExperience with drift detection and model monitoring in production\nTrack record of presenting insights to senior leadership and influencing business strategy\nSound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.\nAdvanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.","description_format":"text","description_chars":4110,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Laptops","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-11-10T05:56:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":122,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/apple-data-scientist-2","json_url":"https://alion.io/job/apple-data-scientist-2.json","meta":{"generated_at":"2026-11-10T07:54:10Z","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":18365,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":12},"rest":"https://alion.io/mcp/rest/get_company?id=12"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapple-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fapple-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fapple-data-scientist-2"},{"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/apple-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapple-data-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4004155}},{"tool":"search_jobs","arguments":{"company":"apple.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4004155},"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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