Data Scientist, Applied AI at Strider Technologies

Tysons, Virginia, United States

Strider Technologies Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

Requirements

  • 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 (Elasticsearch 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 ruthlessly prioritize work
  • Rigorous approach towards data quality and cultivating trust with clients, internally and externally
  • Expertise in statistical modeling
  • Deep curiosity and 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 unknown problems
  • Transform analytics to insights, applying critical business thinking and creative data solutions toward vaguely defined problems
  • Develop needed technical and analytical skills to introduce new data and/or product capabilities to accelerate Strider’s larger mission, 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 for a small but growing team within Strider’s Engineering function
  • Research and develop new data solutions
  • Scale existing data applications
  • Bend Strider’s data strategies to accomplish many goals within a growing startup

Skills

Python
SQL
R
Statistical Modeling
Data Analysis
Unstructured Data Processing
Analytics

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.

Land your dream remote job 3x faster with AI