We empower generations to explore the wonder of childhood and reach their full potential.

We treat play as if the future depends on it — because it does. Play is our language, and we speak to our consumers authentically by representing the world as they see and imagine it.

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Monster High and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies.
 
Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies.

Mattel is recognized as a Great Place to Work™ and as one of Fast Company’s Best Workplaces for Innovators.

Industry: Manufacturing
Company Size: 10,001+ employees

Mattel, Inc.

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**CREATIVITY IS OUR SUPERPOWER. ** It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

**The Team:**

The Product Quality Analytics team operates within the Global Quality, Safety, Sustainability and Regulatory Compliance organization and provides data, analytics, insights, and data-driven decision support across Mattel brands.

The team is responsible for delivering trusted reporting, interactive dashboards, and advanced analytics that help the organization understand product performance, consumer feedback, safety trends, and risk indicators. These insights support product development, corrective action effectiveness, and continuous improvement initiatives, ensuring Mattel delivers the highest-quality products to consumers worldwide.

**The Opportunity:**

We are seeking a Lead Data Scientist to drive advanced analytics and AI initiatives within our Product Quality Analytics organization. This role sits at the intersection of data science, product quality, and business strategy, and is responsible for leading high impact initiatives that transform complex data into scalable insights and intelligent systems.

You will own the end-to-end lifecycle of data science solutions, from problem framing and modeling to deployment and adoption, while influencing stakeholders and mentoring team members. This is a highly visible role with the opportunity to shape how analytics and AI are embedded into quality decision making across the enterprise.

**What Your Impact Will Be**

**Leadership and Strategy**

- Lead the design and execution of advanced analytics and machine learning initiatives aligned to product quality and consumer insights

- Partner with key stakeholders to define high value business problems and translate them into scalable data science solutions

- Act as a thought leader in AI and machine learning, driving adoption of modern techniques including generative AI, natural language processing, and predictive modeling

**Modeling and Analytics**

- Develop and deploy models such as classification, forecasting, anomaly detection, natural language processing, and causal inference

- Apply statistical techniques such as regression, time series analysis, and experimentation to solve complex business challenges

- Build frameworks for early signal detection, quality risk prediction, and root cause analysis

**Productionization and Implementation**

- Collaborate with data engineering to productionize models using Google Cloud Platform tooling such as Agent Platform, Cloud Run, and Dataform

- Contribute to scalable data products and pipelines that enable self service analytics

- Ensure models are monitored, maintained, and continuously improved with an MLOps mindset

Collaboration and Cross Functional Partnership

- Partner with data engineering, analytics, and business teams to align on priorities, data needs, and solution design

- Work across teams to ensure data consistency, shared understanding of metrics, and scalable solutions

- Bridge technical and non technical stakeholders by communicating clearly and driving adoption of data science solutions

**What We’re Looking For**

**Education and Experience**

- Degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field

- 5 or more years of experience in data science with demonstrated ownership of end to end projects

- Experience leading projects or mentoring team members in a formal or informal capacity

**Technical Skills**

- Strong programming skills in Python or R

- Advanced SQL and experience working with large scale datasets

- Experience with machine learning frameworks

- Familiarity with cloud platforms, preferably Google Cloud (BigQuery, Vertex AI)

- Experience working with unstructured data such as documents, videos, or images is a strong plus

**Analytical Expertise**

- Deep knowledge of statistical modeling techniques including regression, experimentation, and forecasting

- Experience with A B testing, causal inference, and predictive modeling

- Strong problem solving skills with the ability to connect data insights to business strategy

- Experience with prompt and context engineering

- Experience with agentic workflows and platforms

**Business and Communication**

- Proven ability to influence stakeholders and drive decisions through data

- Strong communication skills with the ability to simplify complex topics

- Comfortable working in ambiguous and fast paced environments

- Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves.

- The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate’s work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential.

Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here!

**How We Work**

We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors

- We collaborate Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.

- We innovate At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.

- We execute We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

**Who We Are**

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.

Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.

Visit us at https //jobs.mattel.com/ and www.instagram.com/MattelCareers .

Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law.

Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment.

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Lead Data Scientist

StrategyGen  is an SBA certified HUBZone small business and GSA contract holder that provides government agencies and commercial organizations with innovative solutions for complex problems to measurably improve the health of healthcare. 

We leverage our diverse subject matter expertise to provide:

1) Federal and State Regulatory Assistance, Policy Analysis, 
2) Compliance and Auditing
3) Quality and Cost Improvement, 
4) Advanced Data Analytics, and Market Research
5) Education and Technical Assistance.

StrategyGen’s extensive industry experience combined with our in-depth experience with government agencies, including Health and Human Services (HHS), The Centers for Medicare and Medicaid Services (CMS), Center for Program Integrity (CPI), Indian Health Service (IHS),  Housing and Urban Development (HUD), Department of Defense (DoD) and the Department of Education (ED) enables us to recommend actionable solutions federal and state agencies and private industry.

Industry: Government Administration
Company Size: 11-50 employees

StrategyGen Co. (SBA Certified HUBZone Small Business)

**Benefits:**

- 401(k)

- 401(k) matching

- Competitive salary

- Dental insurance

- Health insurance

- Paid time off

- Tuition assistance

- Vision insurance

**About The Role**

We are seeking a Principal Data Scientist to lead the design, maintenance, and annual evolution of risk assessment and compliance analytics solutions supporting CMS Marketplace oversight programs. This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across QHP issuers, web brokers, agents/brokers, and Direct Enrollment (DE/EDE) entities.

**What You Will Do**

-  Lead development and ongoing refinement of structured risk assessment methodologies, including changes to data sources, measure design, risk attribution logic, and scoring calculations.

-  Design and develop compliance risk dashboards and performance monitoring tools adopted by CMS policy and audit stakeholders for operational decision-making, leveraging data visualization platforms such as Power BI, Tableau, or MS Excel.

-  Design data-driven methodologies to identify and quantify compliance risk using multi-source datasets, including the preparation and maintenance of composite measure frameworks and multi-stage risk scoring pipelines.

-  Support issuer compliance reviews, DE/EDE audits, and agent/broker oversight activities by translating regulatory requirements into technical specifications and testable data logic.

-  Develop AI and machine learning solutions with explainability to prioritize and detect noncompliance, and implement agentic AI workflows that automate ingestion, validation, and normalization of compliance data.

-  Support development and maintenance of machine-readable public use files (PUFs) and associated validation logic.

-  Integrate and harmonize CMS data systems to produce actionable insights and executive reporting, ensuring risk scoring outputs are clearly communicated to non-technical and senior stakeholders.

-  Collaborate with CMS policy, audit, and IT teams to continuously enhance oversight systems and analytical processes.

**What We Are Looking Fo **r

-  Bachelor’s degree (Master’s preferred) in Data Science, Computer Science, Information Systems, Statistics, Public Health, Health Informatics, or related field.

-  5+ years of hands-on experience in advanced analytics or data science within regulated environments such as healthcare, insurance, government, or financial services.

-  3+ years of experience leading technical or cross-functional teams.

-  Proven experience building risk scoring methodologies, predictive models, or compliance analytics frameworks involving multi-source datasets.

-  Proficiency in Python and/or R, SQL, and structured data analysis (SAS experience a plus) and experience using Databricks.

-  Experience working with large, complex, multi-source datasets.

-  Expert-level proficiency in data visualization platforms (Power BI, Tableau, or MS Excel) with demonstrated experience producing dashboards for senior and non-technical stakeholders in a regulatory or federal program environment.

-  Strong ability to communicate technical methodology and findings clearly to non-technical and executive stakeholders.

-  Ability to pass a background investigation or federal security clearance for contracted project work; holding an active CMS Enterprise User Administration (EUA) ID is desired.

**Preferred Experience**

-  Experience supporting CMS, CCIIO, ACA Marketplace, or other federal oversight programs.

-  Familiarity with QHP compliance reviews, DE/EDE, or agent/broker oversight, agent/broker oversight, or the ACA regulatory framework.

-  Experience developing explainable AI or human-in-the-loop decision support tools.

-  Experience with methodology documentation, SOP development, or audit-ready analytical frameworks

This is a remote position.

Principal Data Scientist

Join our mission to give the people power to unlock life’s next chapter. We’re looking for smart, passionate people to join our largely distributed workforce as we reimagine the real estate transaction and change the way people buy, sell, rent and finance their homes.

Our homes are the heartbeat of our lives, and we believe that finding a home shouldn’t be so hard in today’s always-on world. That’s why we’re reimagining the traditional rules of real estate to make it easier than ever to move from one home to the next. Our journey began nearly 15 years ago with a handful of employees and one big idea: to make it radically easier for people to move. We began by helping people understand and track their homes’ values with the Zestimate, our proprietary algorithm, and then with advanced technology and valuable connections with real estate professionals. 

Today, Zillow has become a household name; “Zillow” is Googled more frequently than “real estate.” We believe that the time for a seamless and convenient real estate experience is now. This is Zillow’s next chapter.

Industry: Real Estate
Company Size: 5,001-10,000 employees

Zillow

**About The Team**

Zillow Group’s mission is to give people the power to unlock life's next chapter. We're currently seeking a Principal Data Scientist to join the Rentals Marketplace & Ads team! On the Marketplace team, we’re passionate about understanding Rentals Product performance through meticulous analysis and measurement. Our team works closely with Zillow’s Leadership on the Rentals team to uncover opportunities through data to deliver on the Zillow promise to customers - revolutionary and intuitive tools to find your dream home.

The Rentals Marketplace & Ads team sits within the larger Data Science & Analytics (DSA) team. This role will focus on Zillow’s Rentals multifamily pricing strategy and will work closely with product, strategy, engineering, sales, and marketing teams to deliver the data and insights necessary to responsibly grow the rentals marketplace. Zillow Rentals has strong competitors in the space, but has been growing at an incredible rate for the last two years. As we continue to grow, the demands for higher quality and more targeted pricing programs will only increase. This role will be focused on developing our pricing and experimentation platform for our multifamily advertising business.

**About The Role**

In this role, you’ll work closely with Zillow's Rentals data and product leadership teams to discover deep insights about the Zillow Rentals marketplace, while directly supporting pricing initiatives that affect our multifamily products. More specifically, this role will:

- Analyze and interpret large, complex datasets to identify trends, patterns, and insights that support Zillow’s burgeoning rentals ecosystem.

- Collaborate with product stakeholders to define key metrics, goals, and objectives, and develop data-driven strategies to achieve them.

- Utilize causal inference techniques and novel experimental designs to evaluate and iterate on our pricing program.

- Mentor and coach junior team members on executing analytic requests and help unblocking through code reviews & best practice sharing.

- Work closely with cross-functional teams, such as product, marketing, engineering, and corporate strategy, to ensure relevant insights are surfaced for decision making.

- Collaborate with data engineering teams to design and optimize data pipelines and workflows to support efficient data collection, storage, and processing.

- Provide insights and recommendations based on data analysis to drive product decisions and roadmap

- Effectively communicate complex analytical findings to diverse stakeholders, translating technical concepts into actionable insights and recommendations.

- Dive into Zillow's internal and third party data (think Hive, Presto, SQL Server, Databricks) to develop solutions that will help move the business forward and enable better decisions at a rapid speed.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $178,300.00 - $284,700.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $169,300.00 - $270,500.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Who you are

**You are a curious and passionate problem-solver who will not shy away from complexity or uncertainty! Come join us and use your expertise to help us find opportunities and guide our business into the future with powerful insights and recommendations.**

We're searching for a Data Scientist who has:

- A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)

- 8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving

- A strong understanding of statistical concepts, measurement methods, A/B testing and causal inference techniques

- A proven track record of building and operating value-based pricing systems

- Mastery of SQL, Excel, Python, along with some experience with Tableau, Databricks, or other visualization software.

- Superb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plans

- Able to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions

- Keen understanding and experience with online products

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

~~Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.~~

~~Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.~~

~~Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. ~~

Principal Data Scientist - Rentals Marketplace Ads Team

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