The Trade Desk
Business Development GM (Holdco)
New York, New York, United States•19 days ago
$134K – $245K
business developmentsalesagency
Data Science16 days agoHybrid
Magnite
Data Scientist (PHD Required)
data sciencemachine learningpythonsqlscalahadoopsparkpredictive analyticsstatistical modelingbig dataad techlarge language models
Key details
Salary
$125K – $135K
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Boston, Massachusetts, United States
Full job description
Data Scientist role in Boston, MA with a hybrid schedule (Monday and Friday remote, Tuesday to Thursday in-office). Requires a PhD in a quantitative discipline and 5-10 years experience in predictive analytics, statistical modeling, and data mining. Proficiency in Python and SQL is required; Scala and familiarity with large language models are a plus. Responsibilities include researching and prototyping machine learning algorithms, collaborating with engineers for scalable model deployment, leveraging Hadoop and Spark for big data processing, and aligning with client and internal projects. Salary range is $125,000 to $135,000 with additional performance bonus, equity, and comprehensive benefits.
What you'll do
- Research, experiment with, and prototype machine learning algorithms and statistical models for pattern recognition, trend analysis, optimization, and predictive modeling
- Collaborate with engineers to ensure scalable models that perform effectively on high-volume data and support deployment to production
- Leverage big data technologies such as Hadoop and Spark to process large-scale datasets
- Stay aligned with both client-driven and internal projects
- Participate in and contribute to design and code reviews for data science projects
- Develop a strong understanding of the ad tech business context to ensure data science solutions are relevant and impactful
Requirements
- PhD in a quantitative discipline (mathematics, statistics, computer science, or engineering)
- Strong understanding of predictive analytics, statistical modeling, and data mining
- Ability to design effective, practical, and scalable mathematical models
- Ability to identify assumptions and limitations in models and algorithms
- Proficiency in Python and SQL
- Experience with Scala is a plus
- Familiarity with large language models is a plus
Tech stack
PythonSQLScalaHadoopSparkMachine LearningStatistical ModelingBig DataLarge Language Models
Benefits
Annual performance-based bonusEquity (NASDAQ: MGNI)Comprehensive healthcare coverage from day oneGenerous time offHoliday breaks and quarterly wellness daysEmployee stock purchase planFamily-focused benefits and parental leave401k retirement savings plan with employer matchDisability and life insuranceCell phone subsidyMonthly fitness reimbursement
Apply now
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