Top 36 sr. data scientist, programmatic algorithms Jobs in columbus

Senior Data Analyst – Data Discovery & Reporting Assessment
Central Point Partners —Reynoldsburg, OH
- $45 - $50 an hour
- Contract
- Hybrid work
- 6 years
- SQL
- SharePoint
Quick Apply
3d
Sr. Data Scientist, Programmatic Algorithms
Impact.com —Columbus, OH
- $165,000 - $185,000 a year
- Remote
- System design
- Master's degree
- SQL
- Health insurance
- 401(k)
Senior Data Analyst
EASE LOGISTICS SERVICES LLC —Dublin, OH
- Full-time
- Mid-level
- High school diploma or GED
- 1 year
Quick Apply
Senior Data Scientist, Emerging Technology and Innovation
The Hartford —Columbus, OH
- $110,720 - $166,080 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- 5 years
Senior Data Scientist
OCLC —Dublin, OH
- Full-time
- Hybrid work
- Azure
- Computer Science
- Office
- Paid parental leave
- Health insurance
Sr Consultant, People Data Scientist - Human Resources
Nationwide —Columbus, OH
- 8 hour shift
- Office
- Analysis skills
- Travel
- Paid holidays
- Disability insurance
8d
Digital Content Creator
Abortion Forward —Columbus, OH
- $20.00 - $23.50 an hour
- Weekends as needed
- Hybrid work
- Mid-level
- Office
- High school diploma or GED
- Health insurance
- Paid time off
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4d
NGA AI Engineer Senior Manager
PRICE WATERHOUSE COOPERS —Columbus, OH
- $91,000 - $321,500 a year
- 6 years
- Computer Science
- Master's degree
- Paid holidays
- Health insurance
Senior AI Full stack Software Engineer
McKesson —Columbus, OH
- $131,000 - $218,300 a year
- Computer science
- Azure
- Computer Science
- Wellness program
- Employee stock purchase plan
Applied AI Health System Engineer – Senior Manager
PRICE WATERHOUSE COOPERS —Columbus, OH
- $124,000 - $280,000 a year
- Azure
- HIPAA
- 8 years
- Paid holidays
- Health insurance
Applied AI Health Data System Engineer-Senior Manager
PRICE WATERHOUSE COOPERS —Columbus, OH
- $124,000 - $280,000 a year
- 6 years
- HIPAA
- SQL
- Paid holidays
- Health insurance
Senior Data Scientist
OUTCOMES OPERATING INC —Dublin, OH
- Computer science
- Computer Science
- 5 years
- Wellness program
- Paid parental leave
Quick Apply
Senior Data Scientist Engineer - SFL Scientific
Deloitte —Columbus, OH
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office
14d
Sr. Data Analyst
Gifthealth Inc —Columbus, OH
- Hybrid work
- SQL
- Bachelor's degree
- Continuous improvement
- Health insurance
- Dental insurance
Quick Apply
Data Scientist Associate Sr - Consumer Bank Marketing Analytics
JPMorganChase —Columbus, OH
- Full-time
- Writing skills
- 3 years
- SQL
- Health insurance
- Tuition reimbursement
Senior Forward Deployed Engineer- Agentic AI
Deloitte —Columbus, OH
- $155,600 - $306,800 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
7d
AI Engineer, Senior - Enterprise Value Creation (NJUS)
NetJets —Columbus, OH
- Azure
- Computer Science
- Office
- Health savings account
- Disability insurance
CCB Risk Modeling - AI ML Sr. Associate
JPMorganChase —Columbus, OH
- Full-time
- Computer Science
- Research
- AWS
- Health insurance
- Tuition reimbursement
3d
Senior GenAI Engineer
Deloitte —Columbus, OH
- $102,500 - $210,600 a year
- Full-time
- Computer Science
- 5 years
- Java
6d
Quant Analytics Senior Associate
JPMorganChase —Columbus, OH
- Full-time
- Mid-level
- 3 years
- AWS
- Health insurance
- Tuition reimbursement

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sr. data scientist, programmatic algorithms jobs near columbus

Senior Data Analyst – Data Discovery & Reporting Assessment

Central Point Partners -
Reynoldsburg, OH

Quick Apply

Job Details

Contract
$45 - $50 an hour
3 days ago

Qualifications

Reporting and dashboarding tools
Snowflake
SQL
Requirements analysis
SharePoint
Stakeholder management

Full Job Description

Data Analyst

Location: Reynoldsburg, OH - Hybrid

Duration: Contract

Job Description:

Required skills/experience:
Microsoft SQL Server - 6 years experience
MySQL/MariaDB - 6 years experience
PostgreSQL - 6 years experience
Snowflake environments - 6 years experience

Data Analyst needs to have experience with outcome-driven phases focused on discovery, validation, and actionable recommendations using the above technologies —without emphasizing formal documentation.

Focus: Understand what data exists, where it lives, and its condition.
Conduct stakeholder interviews and working sessions to surface both formal systems (SQL Server, MySQL/MariaDB, PostgreSQL, Snowflake) and informal data sources (spreadsheets, Airtable, SharePoint, etc.).
Conduct an in-depth analysis of the database. Look at the database schemas and data stored in those databases to understand what data is available to work with.
Compile a practical inventory of structured and non-standard data assets, emphasizing how they are used.
Identify overlap, duplication, and conflicting data across systems; clarify likely systems of record versus derivative copies.
Capture key data quality concerns, schema inconsistencies, and implementation nuances that impact reporting and downstream use.
Deliver a concise, working-level summary of findings and observations, suitable for internal translation to executive stakeholders ( , but a clear synthesis of insights and risks).

Focus: Evaluate how data is being used and optimize the reporting environment.
Validate and refine the existing report inventory through stakeholder engagement and usage data.
Assess report effectiveness (e.g., actively used, redundant, underutilized, or confusing).
Develop clear disposition recommendations for each report (Keep, Retire, Consolidate, Modify), with practical rationale.
Identify opportunities to consolidate overly specific or duplicative reports into more strategic, multi-use outputs.
Surface gaps, including unanswered business questions and unmet reporting needs.
Document inconsistencies in definitions, metrics, and terminology across teams.
Deliver a concise summary of insights, recommendations, and prioritization guidance to support executive-level decision-making.
In addition to evaluating existing reports, also identify anything that is missing from the list that the client has.
Phase II is based on interviews, working sessions, and actionable summaries—again client does not want a heavy written deliverable but still needs structured, defensible outcomes.

For both Phases, the client does need a comprehensive report on the data - just don't need it to be packaged into a nice format that would typically be presented to an exec team. They want the executive summary, but also want the underlying analysis and results so they can look through the supporting documentation to plan their next steps.

Pay: $45.00 - $50.00 per hour

Work Location: Hybrid remote in Reynoldsburg, OH 43069

Quick Apply

Refine Your Search

sr. data scientist, programmatic algorithms jobs in columbus

Senior Data Analyst – Data Discovery & Reporting Assessment

Sr. Data Scientist, Programmatic Algorithms

Senior Data Analyst

Senior Data Scientist, Emerging Technology and Innovation

Senior Data Scientist

Sr Consultant, People Data Scientist - Human Resources

Digital Content Creator

NGA AI Engineer Senior Manager

Senior AI Full stack Software Engineer

Applied AI Health System Engineer – Senior Manager

Applied AI Health Data System Engineer-Senior Manager

Senior Data Scientist

Senior Data Scientist Engineer - SFL Scientific

Sr. Data Analyst

Data Scientist Associate Sr - Consumer Bank Marketing Analytics

Senior Forward Deployed Engineer- Agentic AI

AI Engineer, Senior - Enterprise Value Creation (NJUS)

CCB Risk Modeling - AI ML Sr. Associate

Senior GenAI Engineer

Quant Analytics Senior Associate

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