• Meet Stride
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Over 20 years ago, Stride was founded to provide personalized learning — powered by technology. We reached students where they were in their own journeys. We knocked down their barriers to great education. And we gave every learner equal opportunity to succeed — however they defined success. Stride innovated the learning experience with online and blended learning that prepared them for their lives ahead.

No matter their age, wealth, or environment, every learner possesses unique talents and boundless potential. Every learner is ready to be inspired by a great education. While many students thrive in traditional brick-and-mortar schools, others are limited by a system that simply doesn't fit their needs. Stride is establishing the kind of personal learning that everyone can access.

Whether providing students with unique opportunities for growth or empowering educators with the tools and knowledge they need to succeed, we know personalized education works. We're steadfast in our dedication to the entire education community. And we're energized to best serve every learner, educator, and enterprise. This philosophy demands a culture driven by an earned trust, constant improvement, and creative innovation. We’re all in.

The Data Scientist applies a strong command of mathematical statistics, algorithm design, modeling, optimization and business acuity to support and drive the development of data-intensive products and services related to personalized adaptive learning. The position works collaboratively with the Academic, Technical, Product Management and School Management teams to dramatically escalate the organization’s ability to identify, ask and answer relevant questions in order to operationalize a large volume, velocity and variety of data within its domain of expertise resulting in the creation of innovative learning solutions that are both effective and profitable.

Essential Funtions:Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.

• Drives the process of designing and building big data solutions that achieve dynamic adaptive learning; Leads the product engineering team in the process of analyzing big data, identifying patterns, finding and answering important product questions;
• Answers product questions with available data by using appropriate statistical techniques, algorithm design, modeling and optimization in conjunction with business acuity and storytelling capabilities;
• Communicates findings in lay terms to product managers, engineers and other stakeholders;
• Plays a key role in evangelizing the data analysis results across the organization;
• Drives the collection of new data and the refinement of existing data sources;
• Defines user action data to instrument;
• Analyzes and interprets the results of product experiments;
• Develops best practices for instrumentation and experimentation and communicates those to product engineering teams.

Supervisory Responsibilities: This position has no formal supervisory responsibilities.

Minimum Required Qualifications:

• Master’s degree in Computer Science/Math/Statistics or relevant field AND
• Five (5) years of experience in data mining/analysis OR
• Equivalent combination of education and experience

Certificates and Licenses: None required.

Other Required Qualifications:

• Ability and passion for formulating research problems and defining performance benchmarks with given data and use case
• Expert proficiency in manipulating and analyzing complex, high-volume, high-dimensionality data from varied sources using big data integration and analysis tools (R, Matlab, or Python)
• Knowledge and experience in application of advanced statistical techniques (e.g. linear models, basis expansion and regularization, kernel methods, probabilistic graphical models / Bayesian Network, etc.)
• Experience with distributed computing tools (e.g. Hadoop ecosystem) and deep data munging ability to prepare data for machine learning algorithms
• Business acuity including understanding and comfort with expectations of accountability and profitability
• Familiarity with relational databases
• Experience with data cleansing, validation and general quality control principles
• Familiarity with data life cycle management practices including sourcing, discovery, profiling, applying definitions, establishing relationships, data mining and documentation
• Excellent verbal and written communication skills with ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Ability to clear required background check

Desired Qualifications:

• Familiar with Snowflake, Power BI, Fivetran, Alation
• Familiar with Amazon Web Services
• ph.D. in relevant technical field
• Have experience and deep understanding of undirected probabilistic graphical models (Bayesian Network, Hidden Markov Model etc.)
• Proficiency in R and one or more programming languages (C/C++, Java, Python, Ruby, PHP, etc.)
• Experience with Hadoop, Hive, Impala, and/or Spark and unstructured data sources

Work Environment:The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• This is an office-based or remote position. The noise level in the office is usually moderate (computers, printers, light foot traffic).

The above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is “at-will” as governed by the law of the state where the employee works. It is further understood that the “at-will” nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer.

Stride, Inc. is a Federal Contractor, an Equal Opportunity/Affirmative Action Employer and a Drug-Free Workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected Veteran status age,, or genetics, or any other characteristic protected by law.