Data Scientist at ispot
Bellevue, Washington, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Dec, 25

Salary

95000.0

Posted On

09 Sep, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Coding Experience, Addition, Soft Skills, Data Science, R, Statistics, Modeling, Machine Learning, Python, Project Leadership, Critical Thinking

Industry

Information Technology/IT

Description

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

QUALIFICATIONS:

  • Experience: 3+ years of experience in Data Science, or comparable field
  • Education: Bachelor’s degree in a quantitative or social science field, Master’s preferred
  • Coding Experience: 3+ years coding experience and 1+ years coding specifically in R or Python;
  • Coding Skill: Intermediate coding skill in Python or R;
  • Leadership Experience: 1+ year of project leadership;
  • Technical Knowledge: Intermediate knowledge of Data Science, Modeling, Machine Learning, and Statistics;
  • Communication: Exceptional written and verbal communication with internal and external stakeholders at all levels;

SOFT SKILLS:

iSpot’s Client Data Science team expects all candidates to have a range of soft skills, including but not limited to: critical thinking, attention to detail, and effective communication. Additionally, the following soft skills are required for success in this role: Prioritization of accuracy; Flexibility and adaptability; Resourcefulness; Logic.
Target cash compensation range: $95,000 - 118,000USD Annually
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE

How To Apply:

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Responsibilities

We are seeking a passionate Data Scientist to join our dynamic Client Data Science team. In this role, you will design and develop custom reports tailored to our iSpot clients, providing them with the insights they need to succeed. We’re looking for someone who shares our obsession with data accuracy and possesses an insatiable curiosity for learning and tackling challenging goals in a fast-paced environment.
Join us in this collaborative environment, where your contributions will help drive innovation and push the boundaries of the media industry. We can’t wait to see how you’ll make an impact!

As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:

  • Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.
  • Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.
  • Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.
  • Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.
  • Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving.
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