Data Science Consultant

Data Science Consultant

Work you'll do

As a Consultant, you will be tasked with solving data problems end to end. This means:

• Ability to understand business goals and translate them into Machine Learning use cases and model design
• Understanding and applying clustering/sampling techniques to design
• Grow your understanding of the multi-channel marketing optimization problem space
• Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes
• Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
• Being able to interpret the models that are being generated
• Developing proofs of concept to verify your ideas
• Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
• Working closely with clients throughout

Qualifications

:

• Bachelor’s in a quantitative field (engineering, mathematics, physics, machine learning, statistics, or computer science)
• At least 2+ years of industry experience outside of academia
• Ability to travel 30% on average based on the work you do and the client and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred

• Master’s in a quantitative field (engineering, mathematics, physics, machine learning, statistics, or computer science)
• Good problem decomposition skills and autonomy when faced with solving data problems
• Experience manipulating large marketing data sets and performing ETL
• Excellent hands‑on knowledge of modeling approaches such as Boosted Trees, Logistic Regression, Classification Techniques, Unsupervised models, LLM, and experimental design
• Experience with large data sets generated in the Ad Tech or Marketing technology spaces
• Excellent verbal and written communication skills; proficiency in conveying complex data insights in an accessible manner to a non‑technical audience
• Proficiency in a high level scripting language, such as Python or R
• Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
• Experience with Deep Learning architectures and/or Reinforcement Learning