Stride Consulting
Data Scientist Tysons Corner, VA or South Jordan, UT
Stride Consulting, Jackson, Mississippi, United States
Overview
Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights and address risks related to state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. Job Description
As a Data Scientist on Strider’s Engineering team, you will research and develop new data solutions, scale existing data applications, and contribute to Strider’s data strategies in a growing startup environment. We’re looking for someone with expertise in statistical modeling who is deeply curious and has a proven ability to build data solutions from scratch. What you will do
Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or tackle problems we didn’t know existed. Transform analytics into actionable insights by applying critical business thinking and creative data solutions to vaguely defined problems. Develop technical and analytical skills to introduce new data and product capabilities, leveraging Python, SQL, R, and/or other data languages. Collaborate with subject matter experts to deliver value to Strider’s growing list of clients. Establish and uphold a data-driven culture within Strider’s Engineering function. What you will need to be successful
3+ years of experience in data science or analytics. MS or BS in a quantitative field (e.g., Economics, Statistics, Engineering). Functional knowledge of Python, SQL, and R or other comparable languages. Elasticsearch experience is preferred but not required. Ability to work with a team of engineers and subject matter experts to determine effective and time-efficient solutions. Ability to independently manage deliverables and prioritize work ruthlessly. A rigorous approach to data quality and building trust with clients, internally and externally. Why join this team
Geo-distributed with a focus-friendly culture; emphasis on getting work done over meetings and status updates. Many tools and data you need may not exist yet—empowered to dream big and explore new territory. Daily interactions with all functions and levels of Strider, offering opportunities to advance your career. Commitment to learning and growth across technical languages, languages, and topics relevant to you and the team. Competitive compensation Company equity options Flexible PTO Wellness reimbursement US holidays (office closed) Comprehensive medical, dental, and vision insurance 401(k) plan Equal Opportunity
Strider Technologies is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.
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Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights and address risks related to state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. Job Description
As a Data Scientist on Strider’s Engineering team, you will research and develop new data solutions, scale existing data applications, and contribute to Strider’s data strategies in a growing startup environment. We’re looking for someone with expertise in statistical modeling who is deeply curious and has a proven ability to build data solutions from scratch. What you will do
Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or tackle problems we didn’t know existed. Transform analytics into actionable insights by applying critical business thinking and creative data solutions to vaguely defined problems. Develop technical and analytical skills to introduce new data and product capabilities, leveraging Python, SQL, R, and/or other data languages. Collaborate with subject matter experts to deliver value to Strider’s growing list of clients. Establish and uphold a data-driven culture within Strider’s Engineering function. What you will need to be successful
3+ years of experience in data science or analytics. MS or BS in a quantitative field (e.g., Economics, Statistics, Engineering). Functional knowledge of Python, SQL, and R or other comparable languages. Elasticsearch experience is preferred but not required. Ability to work with a team of engineers and subject matter experts to determine effective and time-efficient solutions. Ability to independently manage deliverables and prioritize work ruthlessly. A rigorous approach to data quality and building trust with clients, internally and externally. Why join this team
Geo-distributed with a focus-friendly culture; emphasis on getting work done over meetings and status updates. Many tools and data you need may not exist yet—empowered to dream big and explore new territory. Daily interactions with all functions and levels of Strider, offering opportunities to advance your career. Commitment to learning and growth across technical languages, languages, and topics relevant to you and the team. Competitive compensation Company equity options Flexible PTO Wellness reimbursement US holidays (office closed) Comprehensive medical, dental, and vision insurance 401(k) plan Equal Opportunity
Strider Technologies is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.
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