{"schemaVersion":"jobsearcher.job.v1","id":"6a7d44e1e4fd4e10ac4b6675","url":"https://jobsearcher.com/jobs/6a7d44e1e4fd4e10ac4b6675","canonicalUrl":"https://jobsearcher.com/jobs/6a7d44e1e4fd4e10ac4b6675","title":"Senior Analytics Engineer / Data Scientist","description":"Responsibilities\n\nTurn product and business data into clear, trustworthy insights leaders can act on.\n\nOwn the analytics lifecycle—from ingestion and modeling to BI visualization and decision enablement.\n\nDeliver self-serve insights using SQL/Python and embedded BI (e.g., ThoughtSpot).\n\nDefine the design patterns and data infrastructure to scale.\n\nPartner closely with the CX team to quantify and communicate Laurel’s ROI, and join customer-facing presentations.\n\nApply machine learning to real-world product and business problems.\n\nComfortable prototyping AI/ML models in notebooks, experimenting with approaches (classification, clustering, regression, NLP, etc.), and translating findings into actionable insights.\n\nRequirements\n\nBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n\n3+ years of professional experience as a Data Scientist.\n\nAdvanced SQL and Python\n\nExperience with data orchestration tools (e.g., Airflow, Prefect, Dagster).\n\nProficiency in modern data warehouses (e.g., Snowflake, BigQuery, Redshift).\n\nFamiliarity with data modeling, warehousing principles, and BI tools (e.g., ThoughtSpot, PowerBI, Tableau).\n\nAbility to build ML models and quickly prototype solutions (classification, clustering, regression, NLP) that inform product direction.\n\nCloud platform expertise (AWS, GCP, Azure).\n\nKnowledge of dbt, Kubernetes, and Terraform.\n\nExposure to CI/CD pipelines and DevOps practices.\n\nStrong problem-solving and communication skills.\n\nAbility to work in a fast-paced startup environment and manage multiple priorities.\n\nCore Competencies\nDemonstrates expertise in data analysis and machine learning, with a strong ability to deliver actionable insights through SQL and Python. Proficient in data orchestration, modern data warehousing, and BI tools, while effectively communicating findings to stakeholders.\n\nHard Skills\n\nData Modeling\n\nBI Visualization\n\nClassification\n\nClustering\n\nRegression\n\nNatural Language Processing\n\nData Warehousing Principles\n\nPrototyping Solutions\n\nAnalytics Lifecycle Management\n\nDecision Enablement\n\nSoft Skills\n\nStrong Problem-Solving Skills\n\nEffective Communication Skills\n\nAbility to Manage Multiple Priorities\n\nIndustry Keywords\n\nData Science\n\nCI/CD Pipelines\n\nDevOps Practices\n\nFast-Paced Startup Environment\n\nTools & Technologies\n\nThoughtSpot\n\nPowerBI\n\nTableau\n\nAirflow\n\nPrefect\n\nDagster\n\nSnowflake\n\nBigQuery\n\nRedshift\n\nAWS\n\n#J-18808-Ljbffr","company":"Jobtailor","rawCompany":"jobtailor","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-22T03:31:59.865Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Analytics Engineer / Data Scientist","description":"Responsibilities\n\nTurn product and business data into clear, trustworthy insights leaders can act on.\n\nOwn the analytics lifecycle—from ingestion and modeling to BI visualization and decision enablement.\n\nDeliver self-serve insights using SQL/Python and embedded BI (e.g., ThoughtSpot).\n\nDefine the design patterns and data infrastructure to scale.\n\nPartner closely with the CX team to quantify and communicate Laurel’s ROI, and join customer-facing presentations.\n\nApply machine learning to real-world product and business problems.\n\nComfortable prototyping AI/ML models in notebooks, experimenting with approaches (classification, clustering, regression, NLP, etc.), and translating findings into actionable insights.\n\nRequirements\n\nBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n\n3+ years of professional experience as a Data Scientist.\n\nAdvanced SQL and Python\n\nExperience with data orchestration tools (e.g., Airflow, Prefect, Dagster).\n\nProficiency in modern data warehouses (e.g., Snowflake, BigQuery, Redshift).\n\nFamiliarity with data modeling, warehousing principles, and BI tools (e.g., ThoughtSpot, PowerBI, Tableau).\n\nAbility to build ML models and quickly prototype solutions (classification, clustering, regression, NLP) that inform product direction.\n\nCloud platform expertise (AWS, GCP, Azure).\n\nKnowledge of dbt, Kubernetes, and Terraform.\n\nExposure to CI/CD pipelines and DevOps practices.\n\nStrong problem-solving and communication skills.\n\nAbility to work in a fast-paced startup environment and manage multiple priorities.\n\nCore Competencies\nDemonstrates expertise in data analysis and machine learning, with a strong ability to deliver actionable insights through SQL and Python. Proficient in data orchestration, modern data warehousing, and BI tools, while effectively communicating findings to stakeholders.\n\nHard Skills\n\nData Modeling\n\nBI Visualization\n\nClassification\n\nClustering\n\nRegression\n\nNatural Language Processing\n\nData Warehousing Principles\n\nPrototyping Solutions\n\nAnalytics Lifecycle Management\n\nDecision Enablement\n\nSoft Skills\n\nStrong Problem-Solving Skills\n\nEffective Communication Skills\n\nAbility to Manage Multiple Priorities\n\nIndustry Keywords\n\nData Science\n\nCI/CD Pipelines\n\nDevOps Practices\n\nFast-Paced Startup Environment\n\nTools & Technologies\n\nThoughtSpot\n\nPowerBI\n\nTableau\n\nAirflow\n\nPrefect\n\nDagster\n\nSnowflake\n\nBigQuery\n\nRedshift\n\nAWS\n\n#J-18808-Ljbffr","datePosted":"2026-07-22T03:31:59.865Z","dateModified":"2026-07-22T03:31:59.865Z","hiringOrganization":{"@type":"Organization","name":"Jobtailor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6a7d44e1e4fd4e10ac4b6675"},"url":"https://jobsearcher.com/jobs/6a7d44e1e4fd4e10ac4b6675"}}