Data Scientist

Manage and nurture a team of data scientists, data engineers, and data analysts efficiently, promoting a positive culture that yields team satisfaction, engagement and high performance
• Perform/direct data processing, data cleansing and handling of raw data to produce large, structured datasets for analysis, data modeling, data governance, etc.
• Conduct/direct statistical analyses from macro and micro viewpoints (must understand Regression and Classification methodologies intricately)
• Run/direct ad-hoc “what if scenarios” and simulations based on models and evaluate media plans
• Produces/direct reporting, data visualization, presentation building
• Work with internal teams across BI, Buying, Planning and Digital Investment to produce integrated client deliverables
• Produces a way forward in ambiguous situations involving clients
• Drive R&D initiatives using algorithmic modeling, deriving new features, QA or providing training and support to power users
• Bring critical thinking into finding issues, solving problems, and improving processes
• Convert business problems into mathematical expressions and equations
• Take full accountability of timely project delivery, producing analyses and content that is clean, organized, easy to read and understand
• Perform storytelling from data and analyses; persuasively communicate insights to internal stakeholders and clients
• Ensures satisfaction of internal stakeholders and clients
• Support new business initiatives at the agency level, expands the Advanced Analytics client portfolio and upsells services to existing clients

YOUR QUALIFICATIONS:
• 6-8 years of Data Analytics and/or Data Science experience
• Relevant experience and/or education in Statistics, Economics, Engineering, Mathematics, Computer Science or Operational Research (Master’s degree preferred)
• Experience with data analysis within the Financial Services industry
• Understanding of multivariate regressions
• Understanding of multiclass classifications
• Advanced knowledge of SQL and Excel (Pivot Tables, Index Functions, Macros, Complex Functions, etc.)
• Advanced experience with Python (must be able to develop user defined functions), R, C++, SPP, SAS
• Experience with cloud computing providers (e.g. Snowflake, GCP, AWS)
• Experience with Tableau, Domo or Power BI
• Experience with unsupervised machine learning techniques
• Experience with reinforcement learning techniques
• Experience with time-series forecasting
• Familiarity with Agent Based Modeling (ABM) and ABM tools
• Ability to perform Analytics and clearly communicate findings both written and orally
• Persuasive and capable of getting buy in from multiple teams (inside/outside Mindshare) and clients
• Able to deal with and prioritize multiple business requests with strong attention to detail
• Familiarity with Alteryx a plus; ability to adapt to new software, technologies, and methodologies
• Familiarity with digital marketing ecosystem a plus
• Familiarity with activation platforms a plus
• Experience with Web Analytics tools (Omniture, Google Analytics, Webtrends) and Ad Servers tools (DoubleClick, MediaMind, PointRoll, Atlas) nice to have
• Experience with Ad Effectiveness Research and vendors such as Lucid a plus