{"id":3277177,"url":"https://alion.io/job/mutt-data-3-data-scientist-senior-causal-inference","title":"#3 - Data Scientist Senior - Causal Inference - Databricks","company":{"id":19043,"name":"Mutt Data","domain":"muttdata.ai","url":"https://alion.io/company/mutt-data","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":79,"open_postings":12,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico","Mexico"],"countries":["MX"],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":99000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-10-26T15:04:38Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T03:59:38Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Join Our Remote Data Products & Machine Learning Startup!\nAt Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.\nWe are looking for an analytical, curious, and business-minded Data Scientist Senior to join one of our key engagements with a leading beverage company in Mexico. You will be the go-to person for measuring what really works in growth and marketing: designing experiments, estimating causal impact, and turning the results into decisions that drive customer acquisition, retention, and revenue.\nThis role sits at the intersection of statistics, economics, and marketing. You will work closely with marketing, growth, and commercial stakeholders, as well as with Data Engineers and Analytics Engineers, to move beyond correlations and answer questions like \"Did this campaign actually cause an increase in sales?\" or \"Which promotions and channels deserve more budget?\". A strong analytical profile, methodological rigor, and the ability to communicate findings to non-technical audiences are essential. A background in Economics (or similar quantitative fields) is highly valued.\nWhat We Do\nLeveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.\nDeveloping scalable data infrastructures, we enhance high-level decision-making, tailored to each client.\nOffering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.\nUsing Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.\nBuilding deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.\nDeveloping recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.\nOur Partnerships\nAmazon Web Services\nAstronomer\nDatabricks\nOur Values\n We are Data Nerds\n We are Open Team Players\n We Take Ownership\n We Have a Positive Mindset\nCurious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on!\nResponsibilities\nDesign, run, and analyze A/B tests and multivariate experiments (sample size and power calculations, randomization, guardrail metrics, interpretation of results).\nApply causal inference techniques (Difference-in-Differences, Synthetic Control, Propensity Score Matching, Instrumental Variables, Regression Discontinuity, uplift modeling) to estimate the impact of marketing campaigns, promotions, pricing, and loyalty initiatives when randomization is not possible.\nMeasure and optimize marketing performance: incrementality, attribution, ROI/ROAS, customer lifetime value (CLV), and marketing mix modeling (MMM).\nTranslate business questions from growth and marketing teams into well-defined analytical problems and experimental designs.\nDevelop analyses, features, and models on Databricks (notebooks, Spark, Delta Lake), collaborating with Data Engineers and Analytics Engineers on data pipelines and analytical datasets.\nBuild predictive and segmentation models (churn, propensity, customer segmentation) that support targeting and personalization strategies.\nRequired Skills\n3+ years of experience in Data Science, Applied Statistics, Econometrics, or similar analytical roles.\nHands-on experience with Databricks (notebooks, Spark/PySpark, Delta Lake) - required.\nSolid, hands-on experience designing and analyzing A/B tests and online/offline experiments.\nStrong knowledge of causal inference methods and their assumptions, limitations, and practical application (DiD, Synthetic Control, Matching, IV, uplift, etc.).\nStrong foundations in statistics and econometrics (hypothesis testing, regression, Bayesian and frequentist approaches, time series).\nProficiency in Python (pandas, PySpark, statsmodels, scikit-learn) and advanced SQL.\nExperience applying data science to growth, marketing, or commercial problems (campaign measurement, pricing, promotions, customer analytics).\nNice to Have Skills\nDegree in Economics, Econometrics, Statistics, or related quantitative fields (ideally with a focus on applied microeconomics or causal inference).\nExperience in CPG, retail, consumer goods, or beverage industries.\nExperience with Marketing Mix Modeling (e.g., Meridian, Robyn, PyMC-Marketing) and media attribution.\nExperience with causal libraries (DoWhy, EconML, CausalML) and Bayesian modeling (PyMC, Stan).\nExperience with MLflow and Databricks workflows/jobs.\nPerks\nRemote-first culture - work from anywhere! \nAWS, DBT, Google Cloud, Azure & Databricks certifications fully covered\n Birthday off + an extra vacation week (Mutt Week! )\nReferral bonuses - help us grow the team & get rewarded!\nMaslow: Monthly credits to spend in our benefits marketplace.\nAnnual Mutters' Trip - an unforgettable getaway with the team!","description_format":"text","description_chars":5110,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-26T15:10:07Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":33,"reasons":["conf:1","stale_co","velocity","win:early"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/mutt-data-3-data-scientist-senior-causal-inference","json_url":"https://alion.io/job/mutt-data-3-data-scientist-senior-causal-inference.json","meta":{"generated_at":"2026-10-30T05:56:22Z","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":8183,"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":19043},"rest":"https://alion.io/mcp/rest/get_company?id=19043"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmutt-data-3-data-scientist-senior-causal-inference"},{"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%2Fmutt-data-3-data-scientist-senior-causal-inference"},{"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%2Fmutt-data-3-data-scientist-senior-causal-inference"},{"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/mutt-data-3-data-scientist-senior-causal-inference\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmutt-data-3-data-scientist-senior-causal-inference"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3277177}},{"tool":"search_jobs","arguments":{"company":"muttdata.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3277177},"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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