Data Scientist, Marketing Effectiveness & Testing

Hasbro · Renton, Washington, United States

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<div class="content-intro">We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.</div><h3>Data Scientist, Marketing Effectiveness & Testing </h3> Onsite in Renton, WA (Hybrid) Are you a skilled data scientist seeking to contribute at a world-class company? Join Hasbro’s Marketing Efficiency & Testing team in Renton, WA. Become part of a dynamic group dedicated to evaluating our marketing investments and customer initiatives. This role presents an outstanding chance to engage in high-impact projects across beloved Hasbro brands, including Magic: The Gathering, Dungeons & Dragons, Monopoly, and emerging digital games. The position offers considerable ownership and autonomy for individuals who thrive in collaborative and innovative environments.  What You Will do as a Data Scientist:  <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Develop and analyze marketing experiments and causal inference studies, including geo-holdouts, A/B tests, and synthetic controls </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1">Research and apply statistical, machine learning, and experimental methods to business problems </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1">Build forecasting models and analytical solutions for new and existing products, campaigns, and initiatives </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1">Integrate data from internal systems, third-party vendors, APIs, and external data providers </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1">Partner with Data Engineering teams to improve data availability and define requirements for new analytical capabilities </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1">Communicate findings and recommendations through clear visualizations, presentations, and documentation </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Support the development of Hasbro’s marketing data science initiatives </li> </ul> What You Will Bring:  <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Proficiency with Python (Pandas, NumPy, scikit-learn, visualization libraries), SQL, and git </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1">Statistical modeling and experimental design methods </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1">Experience working with large and complex datasets </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1">Proven ability to apply analytics, experimentation, and predictive modeling to solve business problems </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1">Experience crafting, analyzing, or interpreting experiments such as A/B tests, holdouts, geo-experiments, and other causal measurement frameworks </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1">Experience developing customer analytics such as segmentation, retention, acquisition, and lifetime value analyses </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Ability to work with marketing, customer, sales, and digital product data </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1">Strong communication skills to convey technical findings to non-technical audiences and business collaborators </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1">Familiarity with cloud-based analytics environments and modern data platforms  </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1">Bachelor's degree in a quantitative field. </li> </ul> Nice to Have:  <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Experience measuring marketing efficiency across digital and traditional media channels </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1">Experience with web analytics platforms such as Google Analytics, Adobe Analytics, or similar tools </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1">Familiarity with major advertising and marketing ecosystems including Amazon and Google </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1">Experience forecasting demand, sales, customer behavior, or business performance </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1">Experience with Databricks, Azure, Snowflake, dbt, or related analytics technologies </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1">Experience collaborating with Data Engineers or ML Engineers to operationalize analytical solutions </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Master’s degree or equivalent experience in statistics, economics, mathematics, computer science, physics, or another quantitative field </li> </ul> Compensation range, USD:  $102,500 - $153,700  Join us at Hasbro and help build the future of our marketing strategies with your outstanding data science skills. Your work will directly contribute to the success of our iconic brands and delight millions of fans worldwide!  We are an Equal Opportunity / Affirmative Action Employer  Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.  @wizards<div class="content-pay-transparency"><div class="pay-input"><div class="description">The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.</div><div class="title">Pay Range</div><div class="pay-range">$102,500—$153,700 USD</div></div></div><div class="content-conclusion">Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: <ul> <li style="font-size: 12pt;">Health & Wellness</li> <li style="font-size: 12pt;">Time Off to Recharge</li> <li style="font-size: 12pt;">Financial Well-being</li> <li style="font-size: 12pt;">Life & Family Support</li> <li style="font-size: 12pt;">Volunteer and Community Initiatives</li> <li style="font-size: 12pt;">Learning & Development </li> <li style="font-size: 12pt;">Exclusive Perks</li> </ul> Please review our <a id="OWAf3b48604-66ff-cab5-fa36-85c2d05d437e" class="OWAAutoLink" href="https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Fdocs.hasbro.com%2Fprivacy%2Fjob-applicant&data=05%7C02%7CMaria.Hughes%40wizards.com%7C73f450b2476e4441be3308dec7006d14%7C701edd3ec7a84789b1ce8a243620d68f%7C0%7C0%7C639167001791388387%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=QzsYnPcynaB0OC2yYMSHab2TyW8jOlZQWyr87FBwDt8%3D&reserved=0" data-auth="NotApplicable">Applicant Privacy Notice</a> to learn how we collect, use, and protect your personal information in connection with the application process.    </div>