149 Senior Data Scientist jobs in Los Angeles

Job Description

Job Description

About Us
Prachub is an early-stage startup on a mission to make tech interview prep more transparent and accessible. We curate real interview questions, provide in-browser SQL & coding practice, and build community-driven resources across roles like SDE, Data, PM, and more.

We are looking for a founding Data Scientist to join our core team. This is a unique opportunity to help shape both our product and culture from day one.

To be considered for this role, please include a short cover letter sharing your thoughts on how Prachub could be improved.
Our Website:

What You’ll Do

• Analyze user data to uncover insights that drive product and growth decisions.

• Build data pipelines and dashboards to track engagement, retention, and conversion metrics.

• Design and evaluate A/B tests for new features and growth experiments.

• Collaborate with engineers and products to define data-driven roadmaps.

• Contribute to creating a data-first culture at Prachub.

What We’re Looking For

• Degree in Computer Science, Statistics, Data Science, or related field.

• 1–5 years of experience in data science, analytics

• Strong SQL skills and experience with Python or R.

• Familiarity with modern data stacks (e.g., dbt, Airflow, BigQuery, Snowflake) is a plus.

• Experience designing and analyzing experiments (A/B testing, causal inference).

• Bonus: experience with LLMs, recommender systems, or NLP .

• A startup mindset: ownership, adaptability, willingness to get hands dirty.

Why Join Us?

• Impact : Be one of the first data hires, shaping product decisions that affect thousands of job seekers.

• Ownership : Build systems from scratch, not just maintain legacy pipelines.

• Mission-driven : Help students and professionals land jobs at FAANG and top tech companies.

• Growth : Play a defining role in scaling Prachub from 0 → 1.

We’d love to hear from you. Apply here or online at:

Data Scientist

Los Angeles, CA

Hybrid Schedule (M/F remote, T/W/TH in-office)

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!

In this role you will:

• Transition from academia to industry.
• Make sense of complex marketplace data at webscale and perform noncommoditized data work.
• Develop scalable statistical algorithms and predictive models to support real-time decision making in a high frequency ad marketplace.
• Collaborate cross functionally with product managers, and engineers to define KPI's, evaluate A/B tests, perform casual inference, and use data to inform product decisions.
• Apply the creative problem solving skills you learned in academia to business problems.
• Work in a collaborative team environment with high personal accountability.

We're looking for someone with:

• Python fluency.
• A PhD in a STEM field with a computational focus. (Both physical and social scientists are encouraged to apply.)
• Mathematical and statistical fluency. (Should be comfortable with calculus, linear algebra, statistics, and numerical analysis.)
• Familiarity with both llm's and classical machine learning techniques.
• Excellent written and verbal communication skills.

Comprehensive Perks and Benefits :

• Comprehensive Healthcare Coverage for You and Your Family from Day One
• Generous Time Off
• Holiday Breaks and Quarterly Wellness Days
• Equity and Employee Stock Purchase Plan
• Family-Focused Benefits and Parental Leave
• 401k Retirement Savings Plan with Employer Match
• Disability and Life Insurance
• Cell Phone Subsidy
• Fitness and Wellness Reimbursement

Company Culture:

We believe collaboration is essential to success. Magnite's hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home.

• Community Service and Volunteer Events
• Company-Matched Charitable Contributions
• Wellness Coach and Mental Health Support
• Career Development Initiatives and a Career Growth Framework
• Culture and Inclusion Programs
• Bonusly Peer-to-Peer Recognition Program

About Us

The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.

In CA, the base salary range for this position is: $110,000 - $125,000 in addition to an annual variable bonus based on performance and company equity (NASDAQ: MGNI).

For Los Angeles-based applicants:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

The material job duties of this specific job position for which Magnite reasonably believes that a criminal history may have a direct, adverse, and negative relationship include:

• Having access to the Company's Confidential Information or trade secrets including data related to customers, clients, vendors, business partners, or suppliers
• Work with cross teams to access datasets, databases, formulas, algorithms, tools, products, prototypes, systems applications, and technologies in any stage of development

Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.

Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.

Want to learn more about us?

Check out our blog for Magnite announcements and Ad Tech industry news!

Recruiting Agency Notice

Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.

SCAN Group is a not-for-profit organization dedicated to tackling the most pressing issues facing older adults in the United States. SCAN Group is the sole corporate member of SCAN Health Plan, one of the nation's leading not-for-profit Medicare Advantage plans, serving more than 277,000 members in California, Arizona, Nevada, Texas and New Mexico. SCAN has been a mission-driven organization dedicated to keeping seniors healthy and independent for more than 45 years and is known throughout the healthcare industry and nationally as a leading expert in senior healthcare.

SCAN employees are a group of talented, passionate professionals who are committed to supporting older adults on their aging journey, while also innovating healthcare for seniors everywhere. Employees are provided in-depth training and access to state-of-the-art tools necessary to do their jobs, as well as development and growth opportunities. SCAN takes great pride in recognizing our team members as experts in their fields and rewarding them for their efforts. If you are interested in becoming part of an organization that is innovating senior healthcare visit or follow us on LinkedIn, Facebook, and Twitter.

Job Description:

About SCAN

SCAN Group is a not-for-profit organization dedicated to tackling the most pressing issues facing older adults in the United States. SCAN Group is the sole corporate member of SCAN Health Plan, one of the nation's leading not-for-profit Medicare Advantage plans, serving more than 285,000 members in California, Arizona, Nevada, and Texas. SCAN has been a mission-driven organization dedicated to keeping seniors healthy and independent for more than 40 years and is known throughout the healthcare industry and nationally as a leading expert in senior healthcare. SCAN employees are a group of talented, passionate professionals who are committed to supporting older adults on their aging journey, while also innovating healthcare for seniors everywhere. Employees are provided in-depth training and access to state-of-the-art tools necessary to do their jobs, as well as development and growth opportunities. SCAN takes great pride in recognizing our team members as experts in their fields and rewarding them for their efforts. If you are interested in becoming part of an organization that is innovating senior healthcare visit or follow us onLinkedIn;Facebook; andTwitter.

The Job

The Data Scientist position supports SCAN's consumer insights analytic efforts through NLP/Speech analysis of structured and unstructured Voice of the Customer data, data communication, and operational data integration. This role supports SCAN's efforts to generate meaningful insights for Net Promoter Score, Member Satisfaction and Voluntary Disenrollment and enable data driven business decisions for SCAN's strategic initiatives. This role is responsible for end-to-end analysis using the appropriate analytical techniques across a variety of business units and data sources. The data scientist role will collaborate with both business and IT leaders to advise on SCAN's data approach to business challenges.

You Will

• Lead the Voice of the Customer (VOC) analysis of structured and unstructured data. This includes creation of VOC surveys, data streams, data structures, and Tableau dashboards for front line staff, management and executive level use.
• Contribute to marketing efforts by providing a data expertise for brand assessment surveys, quantitative surveys, vendor interaction, automation, NPS management, and dashboard development.
• Connect structured and unstructured data across the organization quickly to provided time sensitive data insights. Data sources including operational data, prospect data, call center data, core admin data, provider data, VOC data, clinical data, and external data.
• Drive implementation of scalable advanced analytics such as machine learning, text analytics, speech analytics, and data munging to derive insights from previously untapped data.
• Drive implementation of specific recommendation engines/predictive models to predict specific business outcomes related to Voluntary Disenrollment, MSAT and Net Promoter Score. This includes designing the model, testing the model, training the model and maintaining the model to drive richer insights.
• Coordinate activities with analytics vendors to create requirements, test models, train models, communicate findings with the business, and support the model going forward.
• Plan, organize, and prioritize assigned projects, creating and managing work plans that reflect the tasks, timeframes, and processes required to successfully complete each project.
• Manage multiple projects by effectively prioritizing work and communicating workload issues to management.
• Interact with IT and business stakeholders at various levels of the organization. This includes ability to create presentations to tell the story behind the data, and represent the business or IT perspective in appropriate instances.
• Apply a methodological approach that implements analytics to efficiently frame and solve complex business problems.
• Support the customer insights data analyst intern program by providing mentorship for the interns.
• Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.
• Contribute to team effort by maintaining collegial, collaborative relationships.
• We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
• Actively support the achievement of SCAN's Vision and Goals.
• Other duties as assigned.

Your Qualifications

• Bachelor's degree in statistics, mathematics, computer science, or related field of study preferred
• Master's degree in statistics, mathematics, computer science, or related field of study preferred
• A comparable combination of education/experience and/or training will be considered equivalent to the education listed above
• 5+ years experience using quantitative methods: Modeling, machine learning, feature creation, construct analysis, multivariate statistical analysis and model building, and predictive modeling
• 2+ years of experience writing SQL code in relational database environment
• 4+ years of experience writing statistically-related code in 'R', Python, or Matlab (or equivalent), SAS
• Experience constructing survey tools, required
• Proficiency working with public and private external data, such as: Nielsen, Axioms, and CMS data.
• Advanced knowledge of Text analytics techniques in a scripting language required
• Knowledge of Tableau is a highly preferred for data visualization and analysis
• Clinical code knowledge related to claims/utilization, preferred
• Experience in a Medicare Advantage environment, preferred
• Ability to document processes and analyses for reference/re-use, required
• Excellent technical skills required
• Strong interpersonal skills, including excellent written and verbal communication skills
• Strong organizational skills; Ability to multitask
• Ability to appropriately maintain confidentiality
• Strong analytical and critical thinking skills, required

What's in it for you?

• Base Pay Range: $106,200 to $182,983 annually
• An annual employee bonus program
• Robust Wellness Program
• Generous paid-time-off (PTO)
• 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
• Excellent 401(k) Retirement Saving Plan with employer match
• Robust employee recognition program
• Tuition reimbursement
• An opportunity to become part of a team that makes a difference to our members and our community every day!

We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!

At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.

SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.

#LI-JB1 #LI-Hybrid

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

About Us:
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.

We provide excellent benefits such as Medical, Dental, Vision + a fun company to work!

Job description:

Client

Healthcare

Position

Data Scientist

Location

Pasadena, CA - candidates must be local - primarily remote - occasional meeting onsite

Duration

Contract to 12/2025; extensions likely

Pay Rate

$5 5 /Hr. on W2 (some flex in rate for strong candidates)

Responsibilities

• Will be building web-based solutions
• Objective is to upgrade their Healthcare technology
• Fast moving migrations
• Working with more than one product but all products fall under pharmacy umbrella
• 50% Front End - 50% Back End - Developers do all work back to back so depending on the application there will mostly be equal mix of development

Required Skills

• Master's degree
• 8 - 10 years~ experience in Data Science and/or as a Data Scientist
• Must have healthcare experience (i.e. EPIC, Behavioral Health, Electronic Health Records, Medical Claims, Medical Coding-CPT, HCPCS, ICD, PCS, etc., CMS, other state healthcare data repositories-DMHC, DHCAI, HCUP/AHRQ, etc.
• Python and R
• SQL
• Experience creating and using advanced Machine Learning algorithms and statistics; regression, simulation, scenario analysis, modeling, neural networks, etc.
• statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining,

Preferred Skills

Job Details

Company Overview: Terray Therapeutics is a venture-backed biotechnology company led by pioneers and long-time leaders in artificial intelligence, synthetic chemistry, automation, and nanotechnology. We're generating chemical data purpose-built to propel drug discovery into the information age - and we're doing it on a larger scale and faster than has ever before been possible.

Our closed loop system generates precise chemical datasets at unrivaled scale that work seamlessly with AI to systematically map biochemical interactions between small molecules and causes of disease. Iterative cycles of virtual molecular design and experimentation power AI and machine learning models, which in turn guide the next cycle of design. With a chemistry engine that measures billions of interactions daily and becomes increasingly precise with every cycle, we can answer an unprecedented array of questions - deriving insights that enable us to predictably create drugs for patients in need.

Position Summary: Terray is currently seeking a motivated, creative, and experienced data scientist. As an integral member of the Platform Data group within the Computational and Data Sciences (CDS) team, the candidate will guide the development of the data pipelines that transform the raw data from our proprietary wet-lab screening platform (tArray) into the precise chemical datasets that power our drug discovery efforts.

The core responsibilities of this position are:

• Analyze tArray data to characterize the performance of the screening platform and provide actionable insights and recommendations.
• Work with wet-lab teams to design and analyze experiments to improve the quality and throughput of the tArray platform.
• Work with internal data consumers, such as the Molecular Design and Machine Learning groups, to understand their needs and identify data pipeline improvements to better serve these downstream workflows.

Experience and Qualifications: Part of Terray's success is nurtured by a hands-on work environment where everyone is accountable, vested in a vision of excellence, and actively taking part in the success of the business. Terray supports a positive work environment where employees can feel engaged, recognized and empowered to be creative.

Required Qualifications:

• BS/MS/PhD in Statistics, Applied Mathematics, or related quantitative field
• 4+ years of experience applying statistical methods to large, real-world, scientific data
• Familiarity with biological assays and interest in learning more
• Proficiency in Python, the PyData stack (numpy, pandas, etc.), and data visualization tools
• Proficiency with the Linux environment, database languages, and version control

Compensation Details: $140,000-$16,000 for Data Scientist and up to 224,000 for Senior Data Scientist (annually) based on experience and seniority; participation in the Company's option plan; 3% retirement safe harbor contribution; fully-paid medical, dental, vision, life and disability benefits and more.

Company

Terray is a biotechnology company with the technology, data, and mindset to radically change the way we discover and develop small molecule therapeutics. We explore molecules and targets broadly and deeply with a sophisticated integration of ultra-high throughput experimentation, generative AI, biology, medicinal chemistry, automation, and nanotechnology. Everything the company does is grounded in an iterative approach, producing massive amounts of precise, purpose-built data that gets increasingly valuable with each cycle of design and experimentation. The company's platform uniquely blends experimentation and computation to improve the cost, speed, and success rate of small molecule drug discovery and development.

Company info
Website Location 750 Royal Oaks, Suite 100
Monrovia
CA
91016
US

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Since 2010 Synergisticit has helped Jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers.
ll Positions are open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
If you applied for a job and got emails from our Job Placement Program team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
please check the below links to see success outcomes of our candidates nd our participation at different Tech industry events and how we are different from other organizations in helping Jobseekers secure Tech careers

We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023






For preparing for interviews please visit
We are looking for the right matching candidates for our clients
Please apply via the job posting
REQUIRED SKILLS For Java /Full stack/Software Programmer

• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Project work on the skills
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, Microservices, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills

For data Science/Machine learning Positions
REQUIRED SKILLS

• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on the technologies needed
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
• Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.

No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

About the job Principal Data Scientist

What You'll Do As a Principal Data Scientist:

• Develop novel AI/ML solutions to further the companys mission of creating innovative and engaging content
• Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry
• Design, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges.
• Identify trends, patterns, and insights from large datasets to inform decision-making.
• Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results
• Think creatively to solve complex problems
• Monitor and maintain the performance of ML models
• Research and stay up-to-date on the latest AI/ML trends and technologies
• Provide technical guidance and mentorship to other engineers
• Collaborate with data engineering teams to ensure the quality and accessibility of data
• Communicate insights and best practices in leadership

Qualifications:

• You could be a great fit if you have:
• MS/Ph.D. in quantitative discipline
• 10+ years of experience in data science, with a proven track record of leading and delivering successful projects
• Proficiency in programming languages such as Python, R, or Scala
• Expert-level experience working with scikit-learn, numpy, and pandas and other ML libraries.
• Solid understanding of ML technologies, models, mathematics and statistical methods
• Experience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus

Required Citizenship / Work Permit / Visa Status
Candidates must work W2, no Corp 2 Corp. US Citizen, Green Card Holder, H4-EAD, TN-Visa

Must haves:
10 years in Data Science
General computing (Python, R, Scala)
Solid understanding of Machine Learning Technologies

About the team Zillow Group's mission is to give people the power to unlock life's next chapter. StreetEasy is owned and operated by Zillow Group and specializes in the NYC market. Indeed, it is estimated that eighty percent of people searching for a home in New York City used StreetEasy or one of the affiliated Zillow Group websites.
StreetEasy is reimagining the way people buy, sell, and rent homes across New York City and New Jersey.

StreetEasy's website and mobile apps provide vetted and verified listings, plus intuitive search tools and data-driven guides to help people unlock the opportunity of living here.

We are a technology driven group who constantly strive to use data to build groundbreaking products. The creative and innovative solutions we build are used by millions of people in New York and across the country. About the role

As a Senior Data Scientist at StreetEasy, you will employ a broad variety of data science skills, all with the aim of creating a fantastic consumer and partner experience at StreetEasy. You will work on large, ambiguous and cross-functional problems with our Product, Marketing & Strategy & Operation teams and come up with data driven insights that push the business forward.

This role helps understand questions such as:

• User insights & segmentation: how do users behave on our site (and beyond) and what patterns can we identify? Can we segment users in ways that help our marketing and product teams provide a better experience?

• Experimentation: can we standardize the way we run A/B tests and automate all our test analyses? How can we run 10x more experiments in 1-2 years?

• Reporting and storytelling: how can we succinctly summarize how our business is performing? What metrics should we track, how should we define them and why?

• Data modeling and data architecture: how do we structure our data so that it can easily answer most questions? How do we expose the data to other teams?

This role has been categorized as a teleworker position. Teleworkers 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. Employees may live in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.

In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.

Who you are

• Present and interpret customer insights, metric development, testing methodologies, and experimentation results to technical and non-technical partners.

• Identify, define, socialize, and break down complex problems in your organizational domain and partner collaboratively with other teams to build solutions that fix enterprise wide problems.

• Champion the importance of data and data driven decision making.

• Create dashboards in Tableau & Databricks

• Create frameworks that can be reused by other team members, eg simulations or causal inference analysis.

• Design and execute experiments (ex: A/B tests) that measure the impact of product changes. Frame experimentation problems, both statistically and within the business and customer context.

• Work with engineering teams to improve data collection procedures to ensure integrity and quality of the data.

• Create data transformation pipelines using tools such as dbt

• Mentor and coach junior team members

Who you are

You are a generalist who enjoys every aspect of Data Science, from simple data pulls to advanced statistical models. Specifically, you will have:

• BS degree in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, Economics, etc.).

• Advanced English proficiency, as most of the stakeholders are US based

• Excellent communication skills with the ability to distill complex issues and detailed analysis into simple, structured frameworks with concrete action plans.

• A track record of running 80-20 analysis, ie the ability to quickly solve problems with data in the fastest, most efficient way possible.

• Strong proficiency in SQL & Python (or another programming language); experience using Tableau and Databricks.

• 5+ years of work experience involving quantitative data analysis and complex problem solving.

• Strong product sense and business acumen. The ability to connect the dots between business needs and the data.

• Experience working with x-functional partners, especially engineering, product and marketing

Nice to Have

• Experience in experimentation methodologies and causal inferences

• Have experience building and productionizing ML models

• Have previously used dbt

• Experience with AI tools, eg Cursor AI

• MS degree in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, Economics, etc.).

Get to know us

Zillow is reimagining real estate to make it easier to unlock life's next chapter.

As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting - and no matter what job you're in, you will play a critical role in making this vision a reality.

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a fundamental commitment to Equity and Belonging. We're also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don't just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees' Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.

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, and gender identity. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

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

Job Description

About the Team

Fanatics is one of the world's most transformative companies, which over the past decade has implemented a revolutionary vertical commerce model, cutting-edge tech platform and agile supply chain to morph from a North American e-commerce vendor into a new breed of mobile-first consumer brand: part tech company, part on-demand manufacturer and part logistics expert. Fanatics' commerce division is the world's largest manufacturer and provider of licensed sports merchandise, and the same innovation and differentiation the company applied to the antiquated licensed apparel industry is now being optimized across the entire sports ecosystem, including physical and digital trading cards and collectibles and online sports betting and iGaming. With more choices at the fingertips of consumers than ever before, Fanatics is building the leading global digital sports platform to create interactive, lasting fan experiences which also helps partners establish better direct-to-consumer relationships in today's highly competitive world.

Fanatics Collectibles has the combined vision and distinct strengths of both Fanatics and Topps that will improve the collector experience while maintaining vital parts of the hobby. Fanatics' data-driven, direct-to-consumer expertise, which includes a database of more than 80 million sports fans globally, will enhance and expand Topps' existing digital capabilities and grow the market opportunity for all participants. In addition, Topps' world-class quality, product development, and manufacturing capabilities, along with their commitment to collectors and hobby shops, will ensure products are more readily accessible, positively impacting current and future collectors and partners.

The Role

We are looking for senior-level Data Scientists to join our Data Engineering, Science, and Analytics team. Do you thrive at applying data science to solve business problems? As a data scientist, you will have ample opportunities to apply your data science skillset to unlock vast business opportunities by extracting key insights using a wide range of data sources, advanced statistical models, and machine learning algorithms and translating results into meaningful, goal-oriented business actions. Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths.

Responsibilities:

• Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business need and scope data science projects.
• Wrangle, process, cleanse, verify, and enrich data from different sources used for analysis.
• Help build data-informed business strategy and roadmaps.
• Translate business needs into data product requirements, evaluate technologies, and identify opportunities to innovate and improve our data science capabilities.
• Use creative problem-solving skills to analyze data and build statistical / machine learning models to help solve business problems from different perspectives.
• Work closely with data engineers to create services that can ingest and supply data to and from both internal and external sources and ensure data quality and timeliness.
• Lead the development of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experience.
• Establish playbooks to drive process and consistent outcomes.
• Participating in the full life cycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring.

Qualifications:

• Master's or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Physics, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
• 4+ years of professional experience as a data scientist.
• Proficient in Python, SQL, Spark, the associated Python and Spark packages commonly used by data scientists, and Deep Learning libraries, such as PyTorch.
• Proficient in wrangle and analyze data with complex relationships and time scale.
• Strong understanding of and practical experience in a wide range of machine learning algorithms and statistical modeling.
• Experience in using data visualization and dashboard tools.
• Experience and knowledge with computer vision domain, library such as OpenCV, PIL, and modern CV architectures (CNNs, Vision Transformers, Image Gen AI etc.)
• Experience in software development, system design and deployment is preferred.
• Working experience in cloud-native technology.
• Experience working with large structured and unstructured datasets stored in relational and NOSQL databases.
• Out-of-the-box thinker and problem solver who can turn ambiguous business problems into clear data-driven solutions that deliver meaningful business impacts.
• Excellent organizational skills, verbal and written communication skills, and presentation skills.

Some things you may want to know about us:

• We're a small team (growing fast!) and everyone wears lots of hats.
• We're have offices in Los Angeles and New York, and many of us are remote.
• We work hard, but not all the time. We have families that we like to spend time with.

The salary range for this position is $152,000- $190,000 which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at

About Us

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About the Team

Fanatics Collectibles is a new model and vision for the hobby, fundamentally changing the experience for current and future collectors, leagues, and players across many U.S. and international professional and college sports. The organization has long-term, exclusive rights to design, manufacture and distribute trading cards for several sports and entertainment properties, including MLB, MLBPA, the Premier League, MLS, UFC, Formula 1 as well as Disney, Marvel, Pixar, and Star Wars, among others. In January 2022, Fanatics Collectibles announced the acquisition of Topps, establishing the preeminent licensed trading card brand as the cornerstone of Fanatics' trading cards and collectibles business, and jumpstarted its MLB and MLBPA rights to design, manufacture and distribute trading cards