Senior Marketing Data Scientist, Professional Services

Key Skills

Java Programming, Python Programming, C++, SQL, Machine learning techniques, Data science techniques, TensorFlow, R Programming, SAS, Statistical modeling, Marketing analytics, Forecasting, S-Plus, Eviews

Job Description

Minimum qualifications:

• Bachelor's degree in Statistics, Computer Science, Engineering, or Mathematics, related quantitative discipline, or equivalent practical experience.
• 8 years of experience in data science with a focus on marketing analytics, statistical modeling, machine learning, forecasting and optimization.
• Experience in Python (and/or R) and SQL.
• Experience in data management systems.

Preferred qualifications:

• PhD in Statistics, Computer Science, Engineering, or Mathematics.
• Experience delivering bespoke analytics to stakeholders (problem scoping/definition, modeling, interpretation, presentation).
• Experience with analytic software tools and languages such as SQL, R, TensorFlow, Python, SAS, SPLUS, and Eviews.
• Client vertical experience, including retail, financial services/retail banking, insurance, telecommunications, automotive and CPG with experience using or deploying digital analytics and measurement solutions.
• Knowledge of the statistical algorithms typically used in Marketing Analytics.
• Ability to visualize models and results, and debug and troubleshoot code and models.

About the job

gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.

The gTech Professional Services (gPS) America (AMER) team is a team of solution-oriented trusted advisors supporting top advertisers in the AMER region. As a Data Scientist on this team, you will have deep technical and product expertise, combined with powerful understanding of customer’s needs and goals to solve their biggest business challenges allowing them to grow. You will have experience working closely with large companies and produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness and business growth.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.

Responsibilities

• Lead analytics aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of modeling.
• Collaborate with clients to build a machine learning framework. Engage various stakeholders, assess data readiness and scale a proof of concept to a larger solution.
• Work with clients and internal teams to translate data and model results into tactical and strategic insights that are clear, accurate, complete, understandable, and applicable to decision-making and needs for varying client audiences. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities, employing methods which create opportunities for scale, proactively helping to drive innovation. Develop comprehensive understanding of Google data structures and metrics, advocating for product changes where needed.
• Mentor and coach junior team members.