Data Scientist II

About the Role

Key Responsibilities

• Identify relationships in data regarding consumer behavior and leverage those relationships to improve prediction models.
• Utilize outputs of competing models and algorithms to predict user behavior and determine the highest performing methods.
• Work with multiple large data sets, including proprietary TTD and client data, which may be partial or unreliable.
• Develop new mathematical equations and formalisms relating proprietary data to client goals.
• Apply Machine Learning/Deep Learning models to predict consumer behavior and real-time bidding auction outcomes.
• Develop statistical methods and translate them into computer code that runs in customer-facing or customer-impacting parts of TTD's software.
• Test software components for performance, especially those applying statistical methods.
• Check data for inaccuracies and apply weights to make data more representative.
• Process datasets up to hundreds of terabytes to generate features for predictive models.
• Develop statistical analyses or models and communicate results to business stakeholders.
• Select and recommend statistical methods based on business needs.
• Analyze historical data to identify patterns useful for predicting future consumer behavior.
• Present analysis results and model performance to stakeholders, ensuring effective communication across technical and non-technical audiences.

Requirements

• Bachelor's degree in Statistics, Biostatistics, Mathematics, or related field with five (5) years of experience, or Master's degree with three (3) years of experience.
• Three (3) years of experience with Python, Spark, SQL, and PySpark.
• Three (3) years of end-to-end experience with Machine Learning projects.
• Two (2) years of experience with TensorFlow or PyTorch.
• One (1) year of experience with Scala.

Nice to Have

• Experience with developing and deploying machine learning models in production environments.
• Knowledge of real-time bidding auction systems.
• Experience working with large-scale datasets and distributed computing frameworks.

Qualifications

• Educational background in Statistics, Biostatistics, Mathematics, or related field as specified in requirements.

Benefits & Perks

• Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents.
• Retirement benefits such as a 401k plan and company match.
• Short and long-term disability coverage.
• Basic life insurance.
• Well-being benefits and reimbursement for certain tuition expenses.
• Parental leave and sick time of 1 hour per 30 hours worked.
• Vacation time up to 120 hours in the first year and 160 hours thereafter.
• Approximately 13 paid holidays per year.
• Employee stock purchase plan with discounted stock options.