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Magnite

Data Scientist I

Sorry, this job was removed at 09:47 p.m. (PST) on Wednesday, Jul 17, 2024
Hybrid
Los Angeles, CA
110K-125K Annually
Hybrid
Los Angeles, CA
110K-125K Annually

Data Scientist I
Boston, MA
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!
We are looking for a highly talented and motivated Data Scientist I. The science team is responsible for audience solutions, ad and bid request filtering, forecasting, optimal pricing for buyers and sellers (price floors, discounts), latency and processing efficiency optimizations, and other projects. We are looking for someone versatile, methodical, excited by modern technology, and who enjoys focusing on tackling software challenges.
In this role, you will:

  • Research and experiment with different machine learning algorithms and techniques for pattern analysis, statistical modeling, feature engineering, and predictive model building.
  • Prototype and produce the developed machine-learning solutions.
  • Work with Engineers to make sure the models scale well on high volumes of data.
  • Use Scala, Java, or Python to utilize Hadoop/Spark to process large-scale datasets.
  • Identify, analyze, and interpret trends or patterns in complex log-based data sets.
  • Explore and interpret data, analyze results using statistical techniques.
  • Use big data skills to bring high volumes of data and data modeling together.
  • Regularly demonstrate awareness of priorities of client-driven and internal projects.
  • Partner with Data Engineers to get projects into production.
  • Conduct and participate in design and code reviews for data science projects.


We are looking for someone with:

  • A PhD degree in a quantitative field (e.g., mathematics, statistics, computer science, or engineering).
  • In-depth knowledge and experience with Regression, Random Forests, Support Vector Machines, Bagging, Boosting, Decision Trees, Clustering, Optimization, Stochastic Processes.
  • Solid understanding of predictive analytics, statistical modeling, and data mining (theory, algorithms, and application).
  • Able to make intelligent approximations and design effective, practical, and scalable mathematical models.
  • The ability to identify assumptions and the limitations of models/algorithms and the impact on reporting and decision-making.
  • Proficiency in Python and SQL (required)
  • Experience with Jupyter Notebooks
  • Experience with Spark and "Big data" is desirable
  • Experience with Version Control such as git.
  • Comfort working in a Linux/Mac development environment
  • Experience in a software technology company (a plus)
  • Knowledge of large language models (a plus)


Total Rewards Include
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


Magnite Invests in You:

  • 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 Massachusetts, 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).
In California, 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).
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 DEI Commitment: To establish Magnite as a thought leader by diversifying voices within Magnite, cultivating a culture in which employees feel safe as their authentic selves, and investing in strategies to support Magnite's local communities.
Want to learn more about us?
Check out our blog for Magnite announcements and Ad Tech industry news!

HQ

Magnite Los Angeles, California, USA Office

Located in the Westchester neighborhood of central Los Angeles. On-site amenities include 24-hour access, outdoor seating, a courtyard, fire pits, bicycle storage, car charging station, fitness center, food service and restaurant, concierge, and a conferencing facility.

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