Research Scientist I

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Research Scientist I
at **MEMBERS ONLY**SIGN UP NOW***.
Kansas City
ReImagine your career with **MEMBERS ONLY**SIGN UP NOW***. Blink & Blend team -
**MEMBERS ONLY**SIGN UP NOW***. Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. The group's portfolio companies include **MEMBERS ONLY**SIGN UP NOW***. Marketing Cloud, TruFactor - an Intelligence-as-a-Service Platform, and Glance - the world's first Screen Zero.
The Blink & Blend teams at **MEMBERS ONLY**SIGN UP NOW***. are focussed on building truly differentiated customer experiences for users of Telco & device companies. Our vision is to create differentiated experiences that can help achieve the sweet spot of relevant and differentiated customer experiences for users of our products ( App stack, notifications, folders, 1 Weather, Baconreader, Tweetcaster and the many more apps we will build) and also help achieve monetization objectives fo the Telco’s and OEM’s. As a founding member of the data science team, you will have the freedom to chart our direction and our trajectory of Data Science creating super size impact basis the foundational work that you do. We maintain close ties with our parent company, **MEMBERS ONLY**SIGN UP NOW***. Group, which provides the best of start-up culture with the rich experiences of a 12-year industry leader.
About the role:
**MEMBERS ONLY**SIGN UP NOW***. Blink and Blend team is looking for a Research Scientist who will design and/or develop processes and systems to analyze high volume, diverse big data sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors and build closed loop systems focussed (e.g. content recommendations, app suggestions, content suggestions, yield maximization alogorithms etc). Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. The research scientist is expected to help define the problem, given the business problem to be solved and define the data and infrastructure requirements for us to be able to build and deploy the ML models. The Research scientist is also expected to own multiple ML projects and ensure progress on multiple such projects. The person is also expected to coach and mentor junior research scientists on the team.
Basic Qualifications:
PhD in Computer Science, Mathematics, Statistics, or other analytical fields and 4 years work experience
Two years experience working with R, Java, Python, Spark or other open source software with data science libraries
Experience in advanced math and statistics
Familiarity with command line linux environment
Able to understand various data structures and common methods in data transformation
Experience deploying machine learning models and measuring their impact
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Preferred Qualifications
Two year experience working with Hadoop, a NoSQL Database or other big data infrastructure
Experience with being actively engaged in data science or other research-oriented position
**MEMBERS ONLY**SIGN UP NOW***. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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