Data Scientist London, UK...

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.

Job Description

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.

What you will do:

• 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 will need to be successful:
  
  
• 3+ 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 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 ruthlessly prioritize your work.
  
• A rigorous approach towards data quality and cultivating trust with clients, internally and externally.
  
  Why join this team:
  
  
• 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.
  
• Equity Options: Be a stakeholder in our growing success and share in our journey.
  
• Work-Life Balance: Flexible PTO, UK holidays, and remote-friendly policies to support your personal and professional life.
  
• Wellness Support: Reimbursement for health and fitness expenses to promote your well-being.
  
• Comprehensive Benefits: Including pension contributions and additional perks.
  
  Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants 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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