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Data Scientist (Remote with some travel)

Company: LearningMate Solutions Inc
Location: Harrisburg
Posted on: August 24, 2019

Job Description:

Primary PurposeLearningMate s K12 and Assessment business group provides strategic and tactical solutions for EdTech and publishing companies who are focused on the K12 and assessment markets. We are currently seeking a Data Scientist with Education domain experience to join our organization. The Data Scientist should have extensive experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. This position requires a proven ability to drive business results with data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve student s learning experience.Essential Functions

  • Work with stakeholders throughout the organization to identify opportunities for leveraging adaptive learning experience data to drive student success and teacher s efficiency.
  • Mine and analyze data from organization databases to drive outcome expectations from the adaptive learning experience.
  • Use predictive & analytics modeling to build a recommendation engine for interventions and early insights to teachers, students, and their parents.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and AI-ML algorithms to apply to data sets and build a personalized learning experience.
  • 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.
  • Other duties as assigned or apparent.Qualifications
    • Master s or PhD in Statistics, Mathematics, Computer Science or another quantitative field
    • 10+ yrs. of experience manipulating data sets and building statistical models, and is familiar with the following:
    • Experience in education-based industry standards, like IEEE LOM, IMS Global and Ed-Fi data standards. Common Education Data Standards is preferred.
    • Coding knowledge and experience with several languages, i.e., .NET, Java, JavaScript.
    • Knowledge and experience in statistical and data mining techniques i.e., GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.
    • Experience querying databases using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
    • Experience using web services i.e., Azure, AWS, Redshift, S3, and Spark.
    • Experience creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modeling, clustering, decision trees, and artificial neural networks and their real-world advantages/drawbacks.
    • Experience analyzing data from 3rd party Content providers such as Clever, Smarty Ants, and nearpod.
    • Experience with distributed data/computing tools i.e., Map/Reduce, and MySQL.
    • Experience visualizing/presenting data for stakeholders using either Tableau, Power BI, D3, etc.
    • Strong problem-solving skills with an emphasis on Personalized Adaptive Learning Experience.
    • Experience building recommendation engines for teachers and students.
    • Experience working with onshore/offshore a plus.
    • A drive to learn and master new technologies and techniques.
    • Excellent verbal and written communication skills.
    • Highly motivated, self-starter with strong organizational and time management skills.
    • Able to perform tasks in a fast-paced working environment and meet tight deadlines.
    • Ability to work collaboratively with colleagues and staff to create a high-quality, results-driven and team-oriented environment.
    • Proficient in MS Office, Google Applications, modern business tools, communication tools, mobile tools, presentation tools for virtual teams (i.e., Google Hangout, Zoom, Skype)
    • Willingness and ability to work flexible hours and travel (up to 25%); will include some overnight travel.
    • LearningMate has offices in India and USA and global customers. Coordination with the teams primarily in India would demand early morning or late evening calls/meetings. - provided by Dice

Keywords: LearningMate Solutions Inc, Philadelphia , Data Scientist (Remote with some travel), Other , Harrisburg, Pennsylvania

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