Data Scientist (MMM)

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    "country": "United States",
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  "workplace_type": "on_site",
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    "description_html": "<p>FocusKPI is seeking a<strong> Data Scientist with MMM (Media Mix Modeling)</strong> experience to enable deep media insights through advanced analytics for our client, one of the largest retailers and e-commerce companies in the U.S.</p><p>Work Authorization: <strong>No Sponsorship provided</strong><br>Location:<strong> On-site at Bentonville, AR</strong><br>Duration:<b> Full-time position</b><br>Pay range: <strong>$70+k/annum</strong></p><p><strong>Responsibilities:</strong></p><ul><li>Perform hands-on coding to retrieve and analyze large datasets using Python and SQL</li><li>Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated, actionable insights to partners and stakeholders</li><li>Manage and streamline the data extraction process with great attention to details</li><li>Assess the potential usefulness, validity, and rigor of new data sources</li><li>Work with a cross-functional team to ensure that the quality of the data are of the highest standard</li><li>Help with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes</li></ul><p><strong>Qualifications:</strong></p><ul><li>Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field. </li><li>Minimum of a Master's degree in related educational field.</li><li>4+ years of industry experience in a data, analytics, and data science role</li><li>Experience with advertising, measurement, and/or digital marketing analytics</li><li>Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.</li><li>Proficient coding skills (<strong>SQL/Python/R</strong>)</li><li>Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)</li><li>Proficient BI/BA data visualization tools (<strong>Tableau</strong>, Power BI, ThoughtSpot, Looker, etc.)</li><li>Experience working with <strong>Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) </strong>is mandatory</li><li>Experience with Modeling and Machine Learning</li><li>Experience with cloud technologies such as GCP, AWS, and Azure</li><li>Experience in integrating, structuring, and analyzing large amounts of data from diverse sources</li><li>Strong project management skills, attention to detail, and documentation skills.</li><li>Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the business</li><li>Passion for working in a fast-paced agile environment.</li><li>A collaborative mindset and sense of curiosity</li><li>Experience with predictive modeling algorithms and optimization techniques</li><li>Experience applying statistics to business problems</li></ul><p><br><strong><span style=\"font-size:16px;\"><em>Note: MMM/MTA experience is mandatory for a minimum of 3 years. Without MMM/MTA experience, profiles cannot be considered.</em></span></strong><br><br><br>Thank you!</p><p>FocusKPI Hiring Team</p><p>Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.</p><p> </p>\n\n<p><strong>NOTICE: </strong>Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to <a href=\\\"https://reportfraud.ftc.gov/\\\">https://reportfraud.ftc.gov/</a> .<br />\nThe domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p>",
    "description_text": "FocusKPI is seeking a Data Scientist with MMM (Media Mix Modeling)  experience to enable deep media insights through advanced analytics for our client, one of the largest retailers and e-commerce companies in the U.S.\n Work Authorization: No Sponsorship provided\nLocation:  On-site at Bentonville, AR\nDuration:  Full-time position\nPay range: $70+k/annum\n Responsibilities:\n Perform hands-on coding to retrieve and analyze large datasets using Python and SQL\n Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated, actionable insights to partners and stakeholders\n Manage and streamline the data extraction process with great attention to details\n Assess the potential usefulness, validity, and rigor of new data sources\n Work with a cross-functional team to ensure that the quality of the data are of the highest standard\n Help with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes\n Qualifications:\n Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field.\n Minimum of a Master's degree in related educational field.\n 4+ years of industry experience in a data, analytics, and data science role\n Experience with advertising, measurement, and/or digital marketing analytics\n Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.\n Proficient coding skills ( SQL/Python/R )\n Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)\n Proficient BI/BA data visualization tools ( Tableau , Power BI, ThoughtSpot, Looker, etc.)\n Experience working with Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) is mandatory\n Experience with Modeling and Machine Learning\n Experience with cloud technologies such as GCP, AWS, and Azure\n Experience in integrating, structuring, and analyzing large amounts of data from diverse sources\n Strong project management skills, attention to detail, and documentation skills.\n Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the business\n Passion for working in a fast-paced agile environment.\n A collaborative mindset and sense of curiosity\n Experience with predictive modeling algorithms and optimization techniques\n Experience applying statistics to business problems\n Note: MMM/MTA experience is mandatory for a minimum of 3 years. Without MMM/MTA experience, profiles cannot be considered.\nThank you!\n FocusKPI Hiring Team\n Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.\n NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .\nThe domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.",
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      "datePosted": "2026-05-11",
      "description": "<p>FocusKPI is seeking a<strong> Data Scientist with MMM (Media Mix Modeling)</strong> experience to enable deep media insights through advanced analytics for our client, one of the largest retailers and e-commerce companies in the U.S.</p><p>Work Authorization: <strong>No Sponsorship provided</strong><br>Location:<strong> On-site at Bentonville, AR</strong><br>Duration:<b> Full-time position</b><br>Pay range: <strong>$70+k/annum</strong></p><p><strong>Responsibilities:</strong></p><ul><li>Perform hands-on coding to retrieve and analyze large datasets using Python and SQL</li><li>Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated, actionable insights to partners and stakeholders</li><li>Manage and streamline the data extraction process with great attention to details</li><li>Assess the potential usefulness, validity, and rigor of new data sources</li><li>Work with a cross-functional team to ensure that the quality of the data are of the highest standard</li><li>Help with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes</li></ul><p><strong>Qualifications:</strong></p><ul><li>Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field. </li><li>Minimum of a Master's degree in related educational field.</li><li>4+ years of industry experience in a data, analytics, and data science role</li><li>Experience with advertising, measurement, and/or digital marketing analytics</li><li>Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.</li><li>Proficient coding skills (<strong>SQL/Python/R</strong>)</li><li>Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)</li><li>Proficient BI/BA data visualization tools (<strong>Tableau</strong>, Power BI, ThoughtSpot, Looker, etc.)</li><li>Experience working with <strong>Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) </strong>is mandatory</li><li>Experience with Modeling and Machine Learning</li><li>Experience with cloud technologies such as GCP, AWS, and Azure</li><li>Experience in integrating, structuring, and analyzing large amounts of data from diverse sources</li><li>Strong project management skills, attention to detail, and documentation skills.</li><li>Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the business</li><li>Passion for working in a fast-paced agile environment.</li><li>A collaborative mindset and sense of curiosity</li><li>Experience with predictive modeling algorithms and optimization techniques</li><li>Experience applying statistics to business problems</li></ul><p><br><strong><span style=\"font-size:16px;\"><em>Note: MMM/MTA experience is mandatory for a minimum of 3 years. Without MMM/MTA experience, profiles cannot be considered.</em></span></strong><br><br><br>Thank you!</p><p>FocusKPI Hiring Team</p><p>Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.</p><p> </p>\n\n<p><strong>NOTICE: </strong>Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to <a href=\\\"https://reportfraud.ftc.gov/\\\">https://reportfraud.ftc.gov/</a> .<br />\nThe domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p>",
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