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Strider Technologies
Tysons, VA | Full Time
$109k-134k (estimate)
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The DarkStar Group
Tysons, VA | Full Time
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LMI Consulting, LLC
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Data Scientist
$109k-134k (estimate)
Full Time 2 Weeks Ago
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Strider Technologies is Hiring a Data Scientist Near Tysons, VA

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.

Benefits

  • Competitive Compensation
  • Company Equity Options
  • Unlimited PTO
  • Wellness Reimbursement
  • US Holidays (Office Closed)
  • Paid Parental Leave
  • Comprehensive Medical, Dental, and Vision Insurance
  • 401(k) Plan

Job Summary

JOB TYPE

Full Time

SALARY

$109k-134k (estimate)

POST DATE

06/04/2024

EXPIRATION DATE

08/05/2024

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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