Stride Consulting
Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. We empower organizations to secure and advance their technology and innovation by transforming publicly available data into critical insights to 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 adapt Strider’s data strategies to support a growing startup. We’re seeking someone with expertise in statistical modeling who is deeply curious and has a proven ability to build data solutions from scratch. Responsibilities
Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or explore problems we didn\'t know existed. Transform analytics into insights by applying business thinking and creative data solutions to vaguely defined problems. Develop necessary technical and analytical skills to introduce new data and product capabilities to accelerate Strider\'s larger mission; leverage Python, SQL, R, and/or other data languages. Collaborate with subject matter experts to deliver value to Strider\'s growing client list. Establish and uphold a data-driven culture within Strider\'s Engineering function. Qualifications
3+ years of experience in data science and/or analytics. MS or BS in a quantitative field (e.g., Economics, Statistics, Engineering). Functional knowledge of Python, SQL, R or other comparable languages. Experience with Elasticsearch is preferred but not required. Ability to work alongside a team of engineers and subject matter experts to determine effective and time-efficient solutions. Ability to independently manage deliverables and prioritize work. A rigorous approach to data quality and cultivating trust with clients, internally and externally. Why join this team
Geo-distributed, focused work culture with moments of distraction-free time; completing work matters more than meetings and status updates. Most data and tools needed to succeed may not exist yet—empowered to dream big and explore new territory. Daily interactions with all functions and levels at Strider, offering opportunities to advance your career. Opportunities to learn new technical languages, spoken languages, or other topics. There is room to pursue your interests to support yourself, the team, or Strider as a whole. Benefits
Competitive Compensation Company Equity Options Flexible PTO Wellness Reimbursement US Holidays (Office Closed) Comprehensive Medical, Dental, and Vision Insurance 401(k) Plan Strider 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 in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.
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As a Data Scientist on Strider’s Engineering team, you will research and develop new data solutions, scale existing data applications, and adapt Strider’s data strategies to support a growing startup. We’re seeking someone with expertise in statistical modeling who is deeply curious and has a proven ability to build data solutions from scratch. Responsibilities
Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or explore problems we didn\'t know existed. Transform analytics into insights by applying business thinking and creative data solutions to vaguely defined problems. Develop necessary technical and analytical skills to introduce new data and product capabilities to accelerate Strider\'s larger mission; leverage Python, SQL, R, and/or other data languages. Collaborate with subject matter experts to deliver value to Strider\'s growing client list. Establish and uphold a data-driven culture within Strider\'s Engineering function. Qualifications
3+ years of experience in data science and/or analytics. MS or BS in a quantitative field (e.g., Economics, Statistics, Engineering). Functional knowledge of Python, SQL, R or other comparable languages. Experience with Elasticsearch is preferred but not required. Ability to work alongside a team of engineers and subject matter experts to determine effective and time-efficient solutions. Ability to independently manage deliverables and prioritize work. A rigorous approach to data quality and cultivating trust with clients, internally and externally. Why join this team
Geo-distributed, focused work culture with moments of distraction-free time; completing work matters more than meetings and status updates. Most data and tools needed to succeed may not exist yet—empowered to dream big and explore new territory. Daily interactions with all functions and levels at Strider, offering opportunities to advance your career. Opportunities to learn new technical languages, spoken languages, or other topics. There is room to pursue your interests to support yourself, the team, or Strider as a whole. Benefits
Competitive Compensation Company Equity Options Flexible PTO Wellness Reimbursement US Holidays (Office Closed) Comprehensive Medical, Dental, and Vision Insurance 401(k) Plan Strider 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 in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.
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