Collaborate with product design and engineering to develop an understanding of needs
Research and devise innovative statistical models for data analysis
Communicate findings to all stakeholders
Enable smarter business processes—and implement analytics for meaningful insights
Keep current with technical and industry developments
Responsibilities
Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Device and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and Interpret data with a clear objective in mind
Implement analytical models into production by collaborating with software developers and machine learning engineers.
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Working Experience on:
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Coding knowledge and experience with several languages: C, C++, Java,
JavaScript, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
Mandatory Skills:
Bachelor’s degree in statistics, applied mathematics, or related discipline
3-6 years experience in data science
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience
Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
Master’s degree in stats, applied math, or related discipline
