Data Science Manager at Strider Technologies

South Jordan, Utah, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Strategic IntelligenceIndustries

Requirements

6+ years of hands-on data science experience, including production-grade model development
2+ years of leadership experience with direct ownership of teams and project delivery
Deep expertise in Python and SQL; familiarity with search infrastructure (e.g. Elasticsearch) and graph approaches is a strong plus
Demonstrated success in building AI-augmented workflows, tools, or services
Experience building reusable, modular data systems that support multiple use cases
Proven ability to operate in ambiguity, set direction, and drive measurable outcomes over time
Strong product instincts and cross-functional communication skills
A sharp analytical mindset with a high standard for accountability, precision, and a relentless pursuit of excellence

Responsibilities

Build and shape reusable data services with one-to-many applications across Strider’s current and future products
Drive the adoption of AI as an accelerant across data science workstreams—automating where possible, scaling intelligently, and pushing for smarter iteration velocity
Lead a team to deliver measurable, consistent progress against long-term projects—balancing innovation with velocity and quality
Collaborate cross-functionally with Engineering, Product, and Intelligence teams to scope high-impact work and align data science contributions with broader company goals
Build a culture of metric-driven decision-making, setting clear KPIs for every project and using data to evaluate progress, impact, and resourcing needs
Serve as a people leader, developer, and technical mentor—developing talent, guiding architecture, and helping your team navigate ambiguity
Stay close to the work: help unblock complex problems, review model assumptions, and challenge the team to raise the bar continuously
Help shape the data science strategy, contributing to the long-term vision of the team and continuously improving how we work

Skills

Key technologies and capabilities for this role

AIMachine LearningEntity ResolutionData ScienceData ModelingTeam LeadershipScalable Data Services

Questions & Answers

Common questions about this position

What experience is required for the Data Science Manager role?

Candidates need 6+ years of hands-on data science experience including production-grade model development, and 2+ years of leadership experience with direct ownership of teams and project delivery. Deep expertise in Python and SQL is required, along with familiarity with search infrastructure like Elasticsearch and graph approaches.

What is the team size for this Data Science Manager position?

The role involves leading a team of 5–10 data scientists.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Data Science Manager role remote or office-based?

This information is not specified in the job description.

What does the company culture emphasize for this data science team?

The role focuses on building a culture of metric-driven decision-making, setting clear KPIs for every project, and using data to evaluate progress, impact, and resourcing needs.

Strider Technologies

Strategic intelligence using AI insights

About Strider Technologies

Strider Technologies provides strategic intelligence services that help organizations enhance their technology and innovation efforts. The company uses open source data and artificial intelligence to convert publicly available information into valuable insights. Strider serves a diverse range of clients, including those in the public, research, and academic sectors, by offering actionable data that helps them identify risks and seize opportunities in a competitive global landscape. One of Strider's key products is Shield, which integrates with existing security systems to deliver focused analysis of security events and proactive defense measures. The company updates its database monthly to ensure clients have access to the latest information, setting it apart from competitors by providing timely and relevant insights tailored to critical organizational needs.

Salt Lake City, UtahHeadquarters

2019Year Founded

$110.9MTotal Funding

SERIES_CCompany Stage

Consulting, Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Competitive Compensation

Company Equity Options

Flexible Paid Time Off

Wellness Reimbursement

US Holidays (Office Closed)

Paid Parental Leave

Comprehensive Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Risks

Emerging competition from AI-driven intelligence firms may erode Strider's market share.

Strider's reliance on open-source data could be challenged by data privacy regulations.

The geopolitical focus on China and Russia may expose Strider to political risks.

Differentiation

Strider uses AI to convert open-source data into strategic intelligence insights.

The company focuses on mitigating state-sponsored IP theft and supply chain vulnerabilities.

Strider's Shield product integrates with existing systems for proactive security analysis.

Upsides

Strider raised $55m in Series C funding to expand its AI platform.

The company launched Spark AI for enhanced data search and risk management.

Strider's partnership with Sumisho Aero-Systems expands its reach in the Japanese market.

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