$102.3k - $209.5k
roles may require compliance with applicable health, immunization, or drug testing requirements. Responsibilities: We identify data requirements and project goals with cross-functional teams. We design and build data pip…
Engineering & IT · Cleveland, OH
Data Scientist jobs in Cleveland, OH
Data scientists turn raw data into decisions and products, using statistics, experimentation, and machine learning to answer questions the business could not otherwise settle.
292
Open roles today
$36–$88/hr
Typical pay range
$120k
Median, full-time
12
Fresh in this list
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01
Open data scientist roles
12 shown of 292 · sorted by freshness
$71.3k - $140.6k
clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As a PROJECT - Data Engineer II on the AI & Data team, you will be responsible for… Designing, de…
$69.6k - $106.13k
appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. As a Research Data Scientist, you will utilize statistical, mathematical and predictive modeling techniques…
$69.6k - $106.13k
analytics and web based applications.Administer existing databases and the analysis, design, and creation of new databases.Perform data modeling, database optimization, understanding and implementation of schemas, and th…
$131.02k - $222.74k
solve the world’s most complex challenges and deliver more impact together.Role description:Arcadis is seeking a Principal Engineer / Scientist to act as the Licensed Site Professional for on-going and upcoming Massachus…
Engineer, we'll count on you to:Lead the Electrical team and collaborate with multidisciplinary project teams throughout all phases of data center and other industrial projects to develop and deliver high-quality enginee…
leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global de…
Job DetailExperience Level Mid LevelDegree Type Bachelor of Science in Architecture (B.Arch.)Employment Full TimeWorking Type On SiteJob Reference 0000020673Salary Type AnnuallyIndustry Architecture, Engineering & Design…
$110.7k - $218.3k
across personas such as Field Sales, KAM, MSLs, or Field Reimbursement ManagersExperience with adjacent Salesforce products such as Data Cloud, Experience Cloud, or MuleSoft based integrationsExperience delivering in a S…
financial management, analytical, and problem-solving skills with the ability to evaluate risks, prioritize investments, and drive data- informed decisions. Exceptional executive communication, stakeholder management, an…
$94k - $175k
Location:4910 Tiedeman Road, Brooklyn OhioABOUT THE JOB (JOB BRIEF)Under manager’s supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. L…
We are seeking an experienced and dynamic Director of Rehabilitation (DOR) to lead our therapy department and oversee the delivery of high-quality rehabilitation services.Position SummaryThe Director of Rehabilitation is…
02
What data scientists earn in Cleveland
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $36–$49 | $74k–$101k |
| Mid level | $49–$66 | $101k–$138k |
| Senior | $64–$88 | $133k–$184k |
Adjusted for the Cleveland market from national ranges.
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What employers ask for
The skills these listings keep naming
Python (pandas, scikit-learn)SQLStatistics and A/B testingMachine learning fundamentalsData visualizationExperiment designCommunicating with stakeholdersDomain and product sense
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Walk me through a data project that changed a decision.
Structure it as question, approach, finding, action. Projects that ended in a decision — even 'we did not launch' — beat technically impressive analyses that went nowhere.
How would you design an A/B test for a new feature?
Cover the metric, randomization unit, sample size, and duration, plus a pitfall like peeking or interference. Practical rigor is what is being tested.
Your model performs well offline but poorly in production. Why might that be?
Discuss train/serve skew, data leakage, distribution shift, and feedback loops. Listing several plausible causes and how you would check each is the strong answer.
Explain p-values or confidence intervals to a non-technical stakeholder.
Use plain language and a concrete scenario, and resist overstating certainty. They are testing whether your statistics survive translation.
How do you handle missing or messy data?
First ask why it is missing — the mechanism matters more than the imputation method. Then discuss options and how the choice affects conclusions.
When would you not use machine learning for a problem?
When a rule, a query, or a simple heuristic wins on cost and interpretability. Knowing when ML is overkill signals maturity.
How do you decide which metric a team should optimize?
Talk about proxy versus true goals, gameability, and counter-metrics. A story about a metric that backfired is very effective here.
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Resume tips that move the needle
For data scientists specifically — generic advice costs you here
01
Lead every bullet with the business result — revenue, retention, cost — and put the method second.
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Specify your stack concretely: Python libraries, SQL dialects, experimentation platforms, and any production ML experience.
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Distinguish shipped work from research; 'model serving 2M users' and 'notebook analysis' are different claims.
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Keep one or two public projects or publications linkable, tailored to the industry you are targeting.
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Name the size and kind of data you worked with — event streams, tabular, text — so teams can map you to their problems.
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Where this role goes
Typical progression
01
Junior Data Scientist
02
Data Scientist
03
Senior Data Scientist
04
Staff Data Scientist
05
Head of Data Science
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