marketing data scientist

Wynn Al Marjan Island

<div>
 
 Job Description
 
 
 
 
 About Wynn Al Marjan Island:
 
 
 
 On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.
 
 
 
 About The Position
 
 
 
 Wynn Al Marjan Island is looking for a
 
 Data Scientist
 
 to join our
 
 Database Marketing
 
 team.
 
 
 
 Responsibilities
 
 
 
 The primary duties and responsibilities of this role are:
 
 
 <ul>
 <li>
 Build, maintain and optimize predictive models for the Gaming Marketing Campaigns
 </li>
 <li>
 Prepare datasets for modeling: cleaning, transforming, feature engineering, and validating data sources
 </li>
 <li>
 Maintain documentation for model inputs, business rules, and assumptions
 </li>
 <li>
 Support campaign operations by producing analytical variables, flags, segments, and model driven attributes
 </li>
 <li>
 Perform ad hoc analysis to support marketing decision making
 </li>
 <li>
 Build and maintain performance dashboards and recurring reports for Models and Campaigns performance
 </li>
 <li>
 Work with the Campaign Manager to ensure model outputs are correctly used during targeting and list creation
 </li>
 <li>
 Collaborate with Loyalty Marketing and other business units to understand their data needs and provide analytical support
 </li>
 <li>
 Assist in test and learn initiatives (eg., A/B tests, offer calibration) through proper setup and data preparation
 </li>
 <li>
 Perform checks to identify anomalies, missing data, or unexpected trends
 </li>
 <li>
 Keep analytical workflows organized, reproducible, and documented
 </li>
 <li>
 Summarize findings clearly for non-technical stakeholders
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Master or Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related analytical field.
 </li>
 <li>
 +2 years of experience in data science and analytics (Gaming experience is a plus but not required).
 </li>
 <li>
 Strong Python and SQL skills for data manipulation and analysis.
 </li>
 <li>
 Experience with Machine learning models (experience with Databricks is a plus)
 </li>
 <li>
 Solid understanding of basic statistical concepts (regression, segmentation, clustering, sampling, validation)
 </li>
 <li>
 Experience working with large datasets and operational, recurring analytical tasks.
 </li>
 <li>
 High attention to detail with strong QA instincts.
 </li>
 <li>
 Ability to explain analytical outputs clearly to non‑technical stakeholders.
 </li>
 <li>
 Organized, reliable, and willing to handle operational and routine tasks as part of learning the gaming analytics environment.
 
 
 </li>
 </ul>
 
 About Wynn Al Marjan Island&rsquo;s Benefits
 
 
 
 We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.
</div>

Data Scientist - Database Marketing

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to know our team:
 
 
 
 The B2B Digital Marketing team sits within Agoda&rsquo;s B2B Marketing organization and is responsible for delivering high‑quality, scalable marketing campaigns for our partners across B2B2C channels. We work closely with Commercial, Product, Data, and regional Marketing teams to ensure campaigns are efficiently executed, performance is clearly measured, and partners receive actionable, data‑driven recommendations that drive value for both Agoda and our partners.
 
 
 Our mission is to balance operational excellence with growth impact &mdash; building repeatable, scalable frameworks that allow us to support dozens of partners at once, while still delivering insights tailored to each partner&rsquo;s performance and business context.
 
 
 Due to continued expansion,
 
 there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:
 
 
 
 <ul>
 <li>
 Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding&amp; pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
 </li>
 <li>
 Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap
 </li>
 <li>
 Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science)
 </li>
 <li>
 Excellent verbal and written communication skills in English
 </li>
 <li>
 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company
 </li>
 <li>
 Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI
 </li>
 <li>
 Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel
 </li>
 <li>
 Innate desire to take ownership, make an impact and influence outcomes
 </li>
 <li>
 Excellent organizational skills, attention to detail and ability to work independently
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing or ecommerce
 </li>
 <li>
 Experience with A/B testing and other testing metrics
 </li>
 <li>
 Strong presentation and negotiation skills
 </li>
 <li>
 Skills that foster collaboration and team spirit
 
 
 </li>
 </ul>
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Analyst or Senior Analyst, B2B Digital Marketing (Bangkok Based, relocation provided)

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to know our team:
 
 
 
 The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.
 
 
 Due to continued expansion,
 
 there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:
 
 
 
 <ul>
 <li>
 Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding&amp; pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
 </li>
 <li>
 Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap
 </li>
 <li>
 Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science)
 </li>
 <li>
 Excellent verbal and written communication skills in English
 </li>
 <li>
 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company
 </li>
 <li>
 Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI
 </li>
 <li>
 Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel
 </li>
 <li>
 Innate desire to take ownership, make an impact and influence outcomes
 </li>
 <li>
 Excellent organizational skills, attention to detail and ability to work independently
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing or ecommerce
 </li>
 <li>
 Experience with A/B testing and other testing metrics
 </li>
 <li>
 Strong presentation and negotiation skills
 </li>
 <li>
 Skills that foster collaboration and team spirit
 
 
 </li>
 </ul>
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Marketing Analytical Roles- Analyst/ Senior Analyst/ Associate Manager (Bangkok Based, relocation provided)

Wells Fargo

<div><h2 class="jobSectionHeader">About this role:
</h2><h2 class="jobSectionHeader">Wells Fargo is seeking a talented Lead Data Science Consultant to join our growing Marketing Analytics team as part of Consumer Banking and Lending (CBL).</h2><h2 class="jobSectionHeader">
In this role you will partner with stakeholders and play a pivotal role for various marketing campaigns aimed at assessing key marketing levers for future optimization and developing solid actionable inflight reporting for continuous refinement of our marketing campaigns. Additionally, you will be responsible for implementing marketing strategies that drive growth and engagement, while continuously improving campaign performance and efficiency.</h2><h2 class="jobSectionHeader">
In this role, you will:</h2><ul><li><h2 class="jobSectionHeader">
Measure and quantify the success of CSBB Marketing campaigns while inflight and via post campaign deep dives</h2></li><li><h2 class="jobSectionHeader">
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels</h2></li><li><h2 class="jobSectionHeader">
Lead complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact</h2></li><li><h2 class="jobSectionHeader">
Review and analyze complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations</h2></li><li><h2 class="jobSectionHeader">
Independently analyze and resolve complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities</h2></li><li><h2 class="jobSectionHeader">
Execute analytical experiments and create innovative statistical technics to discover solutions for abstract business problems across various domains</h2></li><li><h2 class="jobSectionHeader">
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</h2></li><li><h2 class="jobSectionHeader">
Interpret and analyze data, using advanced analytics methods and programming, to recommend ways to solve problems and influence business decisions and strategies</h2></li><li><h2 class="jobSectionHeader">
Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff</h2></li></ul><h2 class="jobSectionHeader">
Required Qualifications:</h2><ul><li><h2 class="jobSectionHeader">
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</h2></li><li><h2 class="jobSectionHeader">
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</h2></li></ul><h2 class="jobSectionHeader">
Desired Qualifications:</h2><ul><li><h2 class="jobSectionHeader">
2+ years of previous marketing campaign analytics experience</h2></li><li><h2 class="jobSectionHeader">
Strong analytical skills, with experience using data and insights to inform marketing decisions</h2></li><li><h2 class="jobSectionHeader">
Proficiency in SQL, Python / R, and other programming languages</h2></li><li><h2 class="jobSectionHeader">
Proficiency in Data visualization preferably with Tableau</h2></li><li><h2 class="jobSectionHeader">
Experience with large production data sets</h2></li><li><h2 class="jobSectionHeader">
Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines</h2></li><li><h2 class="jobSectionHeader">
Expertise in statistical testing</h2></li><li><h2 class="jobSectionHeader">
Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams</h2></li><li><h2 class="jobSectionHeader">
Experience with technical systems and business processes extracting data driven insights while identifying opportunities for engineering enhancements</h2></li><li><h2 class="jobSectionHeader">
Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources</h2></li></ul><h2 class="jobSectionHeader">
Job Expectations:</h2><ul><li><h2 class="jobSectionHeader">
Hybrid work schedule. Must be able to work from one of the approved jobs posting locations three (3) days in office &amp; two (2) days remote.</h2></li><li><h2 class="jobSectionHeader">
This position is not eligible for Visa sponsorship.</h2></li><li><h2 class="jobSectionHeader">
Relocation assistance is not available for this position.</h2></li></ul>
Posting End Date:
16 Jun 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Campaign Analytics & Data Science Consultant

PrizePicks

<div><div>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</div>
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development &amp; causal inference, to enable better &amp; more rapid decision making.
<h1 class="jobSectionHeader">
What you'll do:</h1>
<ul><li>Lead a team of data scientists, covering topics across retention and acquisition marketing</li>
<li>Oversee the development &amp; maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution</li>
<li>Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes</li>
<li>Integrate LLMs into data &amp; operations workflows, to increase throughput &amp; scale across domains</li>
<li>Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team</li>
<li>Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made</li>
<li>Collaborate with senior leadership, to align marketing data science effort with overall company &amp; marketing goals</li>
</ul><h1 class="jobSectionHeader">What you have:</h1>
<ul><li>7+ years of experience in data science &amp; analytics</li>
<li>5+ years of experience in a marketing, customer, or revenue data-related role</li>
<li>3+ years of experience managing or mentoring data scientists, analysts, or engineers</li>
<li>Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred</li>
<li>Proven experience in building and implementing production-grade machine learning models in an operations support capacity</li>
<li>Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes 
</li>
<li>Exceptional communicator, with experience presenting to senior leadership</li>
<li>Ability to influence cross-functional partners (Marketing, Finance, Product)</li>
<li>Comfortable balancing hands-on work with team leadership</li>
<li>Technical Skills
<ul><li>Strong statistical proficiency</li>
<li>Python for statistical computing, model development, and data visualization</li>
<li>Advanced SQL</li>
</ul></li></ul><h1 class="jobSectionHeader">Where you'll live:</h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader">Working at PrizePicks:</h1>

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 5/11/2026

First Extension: 6/11/2026<div><h1 class="jobSectionHeader"> 
Benefits you'll receive:</h1>

In addition to your great compensation package, full-time employees will be eligible for the following perks:
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div></div>

Senior Data Science Manager - Marketing Science

Fors Marsh

<div>JOB TITLE: Senior Data Scientist, Audience Analytics for Healthy Communities
WHO WE ARE: At Fors Marsh, we take on issues that matter. We are a team of researchers, strategists, and communicators working together to drive lasting change. We look at human behavior from all angles with a deep understanding of people and context to design solutions that influence decision-making and move people to action. Our work promotes health and well-being, shapes resilient communities, and builds effective and accountable institutions. We are a certified B Corporation and a Top Workplace for 7 consecutive years.
WHO WE ARE LOOKING FOR: 
Fors Marsh is seeking an experienced quantitative researcher to serve as Senior Data Scientist in our Audience Analytics for Healthy Communities division (AA4HC), which applies data science and research to create actionable insights and plan and optimize communication campaigns, primarily national campaigns for federal clients. The division uses applied data architecture, programming, data visualization, GIS mapping, and statistical modeling to segment audiences and reach them efficiently and effectively. We also combine data from disparate sources into interactive dashboards to facilitate campaign management, optimization, and reporting. The selected individual will conduct data analysis, infrastructure, and visualization as part of projects to identify, understand, and track audiences for public education campaigns including tobacco/nicotine education campaigns. This will include coordinating with internal teams and vendors to integrate campaign media data into campaign performance dashboards. This person will provide technical guidance and coordinate the completion of project tasks and deliverables across teams and team members, upholding high standards for the team to exceed client expectations. 
 
Responsibilities include: 
<ul><li><ul><li>Data engineering, including developing scripts to automate advertising analytics/survey data cleaning and process reviews using ETL/ELT pipelines with medallion architecture (Python and R)</li><li>
Building and maintaining data visualizations for data exploration and trend analysis using Tableau and PowerBI dashboards.</li><li>
Conduct data analysis to interpret complex data, identify patterns, and shape actionable insights (including reports, presentations, and models). This includes descriptive reporting, casual inference, segmentation, and predictive modeling.
</li><li>Regular client interactions, such as presentations, reports, and status meetings to develop and refine data solutions to meet client needs, report on project progress, and share results.</li><li>
Ongoing communication with vendors and internal communication campaign teams to represent findings, coordinate next steps, navigate joint decision-making, and discuss potential implications</li><li>
Working in a collaborative team environment to logically design communication campaigns based on data.</li></ul></li><li><ul>
</ul></li></ul>Qualifications:
<ul><li><ul><li>At least 5 years' relevant experience with data science, segmentation, or communications planning</li><li>
Master's degree in social science, data science, public health, statistics, marketing or related field. PHD preferred</li><li>
Proficiency with data visualization tools like Tableau, Power BI, or similar</li><li>
Experience in working with Cloud computing servers (e.g. AWS) and data and data science related services (e.g., RDS, S3, SageMaker).
</li><li>Expertise in Python</li><li>
Proficiency in R and SQL</li><li>
Experience using database and ETL systems to query and extract data using medallion architecture</li><li>
Data science experienced including supervised, semi-supervised, and unsupervised models; generalized linear/additive models; mixed models; random forest; clustering techniques; Bayesian approaches; cross-validation and model performance evaluation</li><li>
Experience working with large, complex, and nuanced datasets</li><li>
Superior verbal and written communications skills</li><li>
Applicants may be subject to a low-level government security investigation and must meet eligibility criteria for access to sensitive information</li><li>
A collaborative, problem-solving mindset</li><li>
Curiosity, flexibility, and a desire to learn</li></ul></li> 
</ul> 
Preferred Qualifications:
<ul><li>Applied experience with communications, media, or advertising</li><li>
Experience with audience segmentation and proficiency in commercial segmentation (e.g., MRI-Simmons, Nielsen, Claritas)</li><li>
Proficiency in GIS software (e.g. ArcGIS)</li><li>
Knowledge of marketing metrics, marketing principles and terminology</li><li>
Experience working with government public health agencies such as HHS, FDA, CDC, CMS, or statistical agencies like Census Bureau, Bureau of Labor Statistics, or Bureau of Economic Affairs.</li></ul> 
 
We Offer:
Our benefits typically meet or exceed our competitors' packages. What's in it for you?
<ul><li>Ability to make an impact on people's lives, both internal and external to the organization.</li></ul>
<ul><li>Top-tier health, dental, vision, and long and short-term disability coverage all covered at 100% for employee coverage.</li></ul>
<ul><li>Our company culture, which values balance and allows each employee to take leave as they require it to balance the responsibilities of both their work and home lives without worrying about depleting their available leave hours.</li></ul>
<ul><li>A floating holiday bank so you can celebrate the days you value.</li></ul>
<ul><li>Generous matching retirement contributions and no vesting period starting the third month of employment.</li></ul>
<ul><li>Dedicated training and development budgets to expand your expertise and grow your skillset.</li></ul>
<ul><li>You can volunteer your way with paid time off.</li></ul>
<ul><li>You can participate in Fors Marsh staff-led affinity groups.</li></ul>
<ul><li>Our employees receive product and service discounts through the certified B Corp network.</li></ul>
Salary: $92,000-$105,000
Internal Fors Marsh Career Map Title: Senior Scientist I
Location: Remote, open to United States Residents only. #LI-Remote
Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div>

Senior Data Scientist, Audience Analytics for Healthy Communities

The Home Depot

<div>Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. 
Key Responsibilities:<ul><li>
70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience running queries against data (preferably with Google BigQuery or SQL)</li><li>
Experience in predictive modeling, data mining and data analysis</li><li>
Experience with data visualization software (preferably Tableau)</li><li>
Experience utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Basic knowledge or exposure to predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
0</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Associate Data Scientist

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