Data Scientist positions focus on delivering results in their domain. This page aggregates open Data Scientist roles and what employers typically expect.
Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with building at scale. We don't operate under a rigid structure, as a member of this team, you'll have the opportunity to shape the work and the craft. In this role, you'll research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice matters. You will have the opportunity to autonomously own part of our data strategy, work in one of the world's most diverse and complex data environments, and bring together loosely structured datasets to find actionable outcomes that improve our customers' experience. We're looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively being used by customers. The successful candidate will also have experience working with a development team to translate their models into working software.
Salary estimate
$102,000 – $138,000/yr
Provided by the employer.
Skills for this role
Machine Learning
Resume tips for Data Scientist applicants
Lead with measurable achievements relevant to Data Scientist (numbers, scope, impact).
Mirror the exact keywords from the Data Scientist posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Typescript, React, Python, GO).
Keep it to one page for early-career, two pages for senior Data Scientist candidates.
Interview preparation
Prepare concrete STAR-format stories that show Data Scientist outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Data Scientist problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
About achievers
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