Pay
Lower than most similar jobs
$76.8K–$92.9K against $94.7K–$144K, the middle half of what similar US postings state.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
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: Issue identification; Willingness to ask questions; Time management; Focus and prioritization; Teamwork. Target cash compensation range: $76,787 - $92,916 USD 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.Read the full posting
Listed location: RemoteRead the full posting
Applicants must be currently authorized to work in the United States
Collect, aggregate, and manipulate data from multiple sources
Write and optimize R, Python, or SQL scripts for data processing
Create clear visualizations and reports from analysis
Work with internal and external teams to clarify requirements and build solutions
Present complex findings in written reports and presentations
Collecting, aggregating, and manipulating data from multiple sources
writing and optimizing R, Python, or SQL scripts for effective data processing
creating clear visualizations or reports
Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions
translating complex findings into accessible formats through written reports and presentations
Bachelor's degree in a quantitative or social science field
1+ year coding in SQL or Python
Introductory knowledge of Analytics, Statistics, and AI coding tools
Exceptional written and verbal communication with internal stakeholders at all levels
Applicants must be currently authorized to work in the United States.
Experience with analytical and data processing software, such as AWS s3, Snowflake, and Databricks
Qualifications and Education Requirements: - Education: Bachelor's degree in a quantitative or social science field; - Coding Experience: 1+ year coding in SQL or Python;
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$76.8K–$92.9K against $94.7K–$144K, the middle half of what similar US postings state.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 19
Similar jobs usually come down between day 5 and day 41.
From 10,593 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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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.
- Education: Bachelor's degree in a quantitative or social science field; - Coding Experience: 1+ year coding in SQL or Python; - Technical Knowledge: Introductory knowledge of Analytics, Statistics, and AI coding tools;
Preferred Skills: - Experience with analytical and data processing software, such as AWS s3, Snowflake, and Databricks - Prior role in the Ad Tech industry
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.
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.
As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:
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
Hybrid & Flexible Workplace Policy
iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
#LI-Remote
If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.
California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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: Issue identification; Willingness to ask questions; Time management; Focus and prioritization; Teamwork. Target cash compensation range: $76,787 - $92,916 USD 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.
Remote
For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. #LI-Remote If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time. 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.