Senior Data Scientist at Market Force

The Impact You Will Make

• We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• You work together with domain experts, data engineers and Data analysts to build scalable and reliable AI solutions. You will have a direct impact on new solutions that will improve MarketForce products and processes.
• You take the ownership of specific components, make them reliable, scalable and help to design the overall data architecture.
• You like to continuously grow your skills and support your colleagues in improving theirs and you are willing to write and deliver production level code and will to collaborate with various levels of management and technical staff.

Responsibilities

• Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.
• Select and apply appropriate statistical, machine learning, and computing methods to large-scale, high-dimensional data
• Write clear, maintainable and tested code
• Stay current with the latest research and technology and communicate your knowledge throughout the enterprise
• Take responsibility for preparing data for analysis, and provide critical feedback on issues of data integrity
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications

• Basic Qualifications: Bachelor's degree in statistics, math, computer science, or economics. Preferably have a Masters in Computer science, math, statistics
• 3+ yrs experience in applying machine learning (preferably with time series data) and other analytic methods to solve practical business problems
• Experience in machine learning algorithms & underlying mathematical/statistical principles
• Programming Experience in Python and/or R, including common data science libraries (e.g. scikit-learn, pandas, numpy) to manipulate data and draw insights from large data sets
• Experience in software engineering best practices and able to write code for production systems (e.g. modularity, unit tests)
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Experience querying databases (e.g. SQL)
• Experience with BI tools (e.g. quicksight, tableau)

What will catch our eye

• Experience using web services (e.g Redshift, S3).
• Experience with distributed data/processing tools (e.g. Spark)
• Experience deploying machine learning models in production systems
• Excellent communication and documentation skills