Lead Data Scientist

Akkodis is seeking a Lead Data Scientist with our direct client to join their team.

The Terms:

Job Type : Direct Hire

Location : 100% Remote

Salary Range : $121k-206k/yr.

Job Description

Responsibilities

Your day-to-day looks like:

• Be a thought partner in the area of experimentation for Ads Platform, and autonomously identify and pursue research with significant business impact on KPIs
• Analyzing large amount of data sets using distributed computing frameworks
• Building advanced algorithm and machine learning models using a variety of libraries/tools and cutting-edge techniques
• Identifying opportunities for new machine learning solutions, exploring new data sources for enrichment, collecting appropriate labels for learning, establishing actionable metrics, and creating reusable model validations and risk mitigation
• Communicating results to key stakeholders in a clear and compelling manner
• Establishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and compliance
• Working with product and engineering partners for model handoff and productionization

Qualifications

Successful candidates typically have:

• Master’s or PhD degree in a machine learning/AI related field such as engineering, statistics, computer science, physics, or related discipline
• 5+ years of industry experience in data science, data analytics, and machine learning in advertising domain
• Deep experience in digital advertising including systems, measurement sciences, and principled incrementality approaches and passion for incentive challenges
• Experience with ad auctions (RTB platform) such as dynamic bidding strategy, ad ranking, and experimentation on the advertising platform
• Advanced knowledge in predictive models such as parameterized methods, ensemble algorithms, deep neural network, and reinforcement learning algorithms such as multi-armed bandit algorithms, Q-learning, deep reinforcement learning
• Demonstrated experience using Python and Spark for big data query/processing and engineering skills for productionizing the solution
• Experience with scientific computing libraries Scikit-learn, TensorFlow, PyTorch, and Spark ML-lib
• Over 5 years' experience with developing end-to-end machine learning solutions/algorithms including model development, deployment, monitoring, and life-cycle management on the advertising platform
• Ability to translate product requirement into well-defined analytical problems and produce feasible solutions
• Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to stakeholders with different levels of expertise

Benefits

• 401k
• PTO
• Medical, Vision and Dental