Job Location: Tysons Corner, VA
Company Description
Strider is revolutionizing the way companies, universities, research institutions, and government agencies protect their innovation and compete in a new era of global strategic competition. Our trailblazing technology and intelligence solutions enable clients to proactively identify, manage, and respond to nation-state directed IP theft and supply chain vulnerabilities.
If you’re ready to be part of an elite team tackling some of the most pressing security and technology challenges, let’s talk.
Benefits
- Competitive Compensation
- Company Equity Options
- Unlimited PTO
- US Holidays (Office Closed)
- Paid Parental Leave
- Comprehensive Medical, Dental, and Vision Insurance
- 401(k) Plan
Job Description
Strider is revolutionizing the way companies, research institutions, and governments protect their innovation and compete in a new era of global strategic competition. Our technology and intelligence solutions enable customers to proactively identify, manage, and mitigate nation-state directed IP theft and supply chain vulnerabilities outside the cyber domain.
As a Data Scientist on Strider’s Engineering team, your job is to research and develop new data solutions, scale existing data applications, and bend Strider’s data strategies to accomplish many goals within a growing startup. We’re looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch.
You Will
- Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or get lost on problems we didn’t even know existed.
- 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.
What You Need To Be Successful
- 2+ years of experience in data science and or analytics.
- An 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 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 your own work.
- A rigorous approach towards data quality and cultivating trust with clients, internally and externally.
Why Join This Team
- We are currently a four-person team. Your impact to the team culture and the work itself will be impactful on day one.
- We are geo-distributed and deeply respect focused work. Wednesdays are distraction free days and Fridays tend to be the same. Getting work done matters, not meetings and status updates.
- Most of the data and tools we need to succeed likely don’t exist yet. You are empowered to dream big, think outside the box, and generally explore new territory.
- You’ll get daily interactions with all functions and levels of Strider, providing endless opportunities to advance your career.
- And finally, we revel in learning new things, be it technical languages, spoken languages, or other topics. There is infinite space at Strider to pursue your interests to further yourself, the team, or Strider as a whole.
Diversity
Strider provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Strider complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Job Description
Strider is revolutionizing the way companies, research institutions, and governments protect their innovation and compete in a new era of global strategic competition. Our technology and intelligence solutions enable customers to proactively identify, manage, and mitigate nation-state directed IP theft and supply chain vulnerabilities outside the cyber domain.
As a Senior Data Scientist on Strider’s Engineering team, your job is to research and develop new data solutions, scale existing data applications, and bend Strider’s data strategies to accomplish many goals within a growing startup. We’re looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch.
You Will
- Apply statistical models on large, unstructured datasets to: (a) define and evaluate research efforts, and (b) deliver new data or product capabilities.
- Tackle complex data challenges ranging from ad hoc data requests to year or multi-year long research efforts.
- Leverage Python, SQL, R, and or other data languages to build scalable data solutions.
- Define and implement data strategies to accelerate Strider’s growth.
- 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.
What You Need To Be Successful
- 5+ years of experience in data science and or a research field.
- Experience in developing methods that are then implemented in a production processing environment.
- A PhD or MS in quantitative field (e.g. Economics, Statistics, Engineering)
- Expert knowledge of Python, SQL, R or other comparable languages. Experience with Elasticsearch preferred but not required.
- Ability to juggle longstanding research efforts alongside smaller, time sensitive tasks.
- Ability to work alongside a team of engineers and subject matter experts to determine effective and time-efficient solutions.
- A pragmatic approach towards tackling vaguely defined data challenges and communicating complex problems to many stakeholders.
Why Join This Team
- We are currently a four-person team. Your impact to the team culture and the work itself will be impactful on day one.
- We are geo-distributed and deeply respect focused work. Wednesdays are distraction free days and Fridays tend to be the same. Getting work done matters, not meetings and status updates.
- You’ll get daily interactions with all functions and levels of Strider, providing endless opportunities to quickly grow your career.
- And finally, we revel in learning new things, be it technical languages, spoken languages, or other topics. There is infinite space at Strider to pursue your interests to further yourself, the team, or Strider as a whole.
Diversity: Strider provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Strider complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Learn more about us by visiting https://www.strider.tech/
Submit CV To All Data Science Job Consultants Across United States For Free
