221 Data Scientist jobs in Ohio

**Job Posting End Date**

Please note the job posting will close on the day before the posting end date.
**Job Summary**
As a Data Scientist (Levels 7/8), you'll work directly with business partners to identify opportunities, analyze data, and build models that optimize operations and support strategic initiatives. You'll design, develop, and deploy predictive and prescriptive analytics using modern data science tools and cloud platforms. This role is ideal for someone who enjoys hands-on development, collaborating with stakeholders, and delivering actionable insights.
**Job Description**
**What You'll Do:**
+ **Hands-On Analytics & Model Development:**
+ Develop, test, and deploy machine learning, AI, and statistical models to solve high-value business problems.
+ Apply modern data science tools (Python, R, cloud platforms like AWS/Azure) for data wrangling, modeling, and visualization.
+ Build and maintain scalable solutions for predictive and prescriptive analytics.
+ **Business Partnership & Value Delivery:**
+ Collaborate with business units to understand challenges and identify opportunities for analytics-driven improvements.
+ Translate business needs into technical requirements and deliver actionable insights.
+ Communicate findings through clear visualizations and presentations.
+ **Data Acquisition & Management:**
+ Ensure relevant data is acquired, cleaned, and prepared for analysis.
+ Work with data engineers to access and integrate data from various sources.
+ **Continuous Learning & Industry Awareness:**
+ Stay current with industry trends in AI, GenAI, machine learning, and statistical modeling.
+ Participate in forums and research to bring innovative solutions to AEP.
+ **Collaboration & Mentorship:**
+ Work closely with other data scientists and analysts; may provide guidance to junior team members.
+ Collaborate with external partners or vendors as needed.
**What We're Looking For:**
+ **Education:** Bachelor's degree in mathematics, statistics, computer science, data science, engineering, economics, or a related technical field.
+ **Experience:** Minimum 5 years of relevant experience in data science, analytics, or machine learning.Equivalent combinations of education and experience may be considered.
**Preferred Skills**
+ Proficiency with analytics and statistical software (Python, R, etc.).
+ Experience with cloud platforms (AWS, Azure) and modern data science workflows.
+ Experience developing and deploying machine learning and AI models in production environments.
+ Hands-on experience with modern AI techniques, including generative AI (LLMs, RAG), agentic AI (autonomous agents, workflow automation), and computer vision (image/video analysis).
+ Ability to communicate complex technical concepts to non-technical audiences.
+ Familiarity with MLOps, model monitoring, and version control.
+ Strong problem-solving skills and adaptability in a fast-paced environment.
**What you'll get:**
In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.
Where Putting the Customer First Powers Everything We Do
At AEP, we're more than just an energy company - we're a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
#AEPCareers
#LI-ONSITE
**Compensation Data**
**Compensation Grade:**
SP20-008
**Compensation Range:**
$96, ,940.00 USD
The Physical Demand Level for this job is: S - Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
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It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.

Data ScientistRemote - United StatesJR
**Data Scientist**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we're on a mission to reinvent managed services for the **AI era** , shifting from manual, reactive support to a **software-first, predictive model** . Our **Envision Operating System** is designed to harness the power of AI and automation to orchestrate operations across mainframe, distributed, and cloud environments.
As a **Data Scientist** , you'll be the engine behind the intelligence that powers this transformation. You'll take diverse, messy, and often incomplete datasets-ranging from ServiceNow incidents to capacity telemetry to financial signals-and turn them into **insights, predictions, and models** that drive smarter, faster, and more proactive decisions.
This isn't research for research's sake. The models you create will **predict major incidents before they occur, detect anomalies in real time, and optimize workloads to reduce costs** . You'll work side-by-side with Data Engineers, ML Engineers, and MLOps to ensure your models don't just live in notebooks-they scale, deliver measurable business value, and directly improve uptime and client experience.
We're looking for **impact-driven data scientists** -builders who want to see their work powering live systems, not sitting on a shelf. If you thrive in turning ambiguity into actionable intelligence and want to **help rewrite the future of managed services** , this role is for you.
**What You Will Do:**
+ **Model Development** - Design, train, and validate machine learning models for incident prediction, anomaly detection, workload optimization, and intelligent automation.
+ **Feature Engineering** - Collaborate with Data Engineers to identify, transform, and optimize features from ServiceNow, operational telemetry, financial, and customer datasets.
+ **Experimentation & Evaluation** - Apply rigorous statistical and experimental design methods (A/B testing, Design of Experiments) to validate model performance.
+ **Insight Generation** - Use data storytelling to translate complex model results into actionable insights for business and operations stakeholders.
+ **Collaboration Across Teams** - Partner with ML Engineers to deploy models into production and with Ops teams to ensure predictions are explainable and trusted.
+ **Continuous Improvement** - Monitor drift, retrain models, and refine approaches to stay ahead of evolving infrastructure and client needs.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**   
**Required Skills & Experience**
+ Strong foundation in **statistics, machine learning, and data science techniques** (linear models, trees, ensembles, neural networks).
+ Proficiency in **Python** and core data science libraries (Pandas, NumPy, Scikit-learn; bonus: TensorFlow/PyTorch).
+ Experience working with **ServiceNow data** and other IT operations datasets.
+ Skilled in **SQL** for data exploration and feature engineering.
+ Knowledge of Snowflake is an important capability
+ Familiarity with **data storytelling tools** (Tableau, Power BI, or similar) to communicate insights effectively.
+ Knowledge of model evaluation metrics (F1, ROC/AUC, precision/recall) and experience optimizing for business impact, not just technical performance.
+ Experience with experimentation frameworks, statistical testing, or Design of Experiments (DOE) is a strong plus.
**Mindset & Values**
+ **Get Stuff Done** - You don't over-engineer; you deliver working models and iterate.
+ **Business Impact First** - You measure success not just in accuracy scores but in **reduced incidents, faster resolution, and measurable cost savings** .
+ **Collaborative Problem-Solver** - You thrive in cross-functional teams, bridging the gap between data, operations, and business leaders.
+ **Curious Innovator** - You push the boundaries of how AI/ML can be applied to enterprise IT, always looking for creative ways to improve.
**Success Looks Like**
+ Predictive models that **identify major incidents up to an hour in advance** with confidence and accuracy.
+ Actionable insights that are **trusted by Ops teams** and integrated into their workflows.
+ Clear business outcomes: improved uptime, lower costs, and faster mean time to resolution (MTTR).
+ A growing library of reusable features and models that scale across multiple clients and infrastructure types.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
+ Unlimited Paid Day Off (PDO) Plan
+ Two robust health plan options through Blue Cross Blue Shield
+ 401(k) with a generous company match
+ Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
+ Depending on location, ability to take advantage of fitness centers
+ Wellness program
+ Flexible work schedule
As of the date of this posting, a good faith estimate of the current pay scale for this role is $114,000 to $148,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program.
Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.
Pay transparency nondiscrimination statement/posting OFCCP's pay transparency policy can be found on OFCCP's website.
If you need accommodation at any point during the application or interview process, please let your recruiter know or email .
JR

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
+ Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our products
+ Partner with teams to solve problems and identify trends and opportunities
+ Inform, influence, support, and execute our product decisions and product launches
+ Forecasting and goaling, designing, and evaluating experiments, building and analyzing dashboards and reports, and evaluating and defining metrics
+ Exploratory Analysis: proposing roadmap items, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis
+ Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results
+ Data Infrastructure: Hadoop and Hive, MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL
+ Knowledge of statistics: hypothesis testing, regression
Basic Qualifications:
+ Minimum 5 years of work experience with at least 2 years of experience in Data Science
+ Minimum 2 years of experience in SQL
+ Minimum 2 years of experience in Python
+ High School Diploma or GED
Preferred Qualifications:
+ Data Analytics
+ Statistics
+ Good communication skills
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Hourly Salary Range
California $80 to $0
Cleveland 80 to 90
Colorado 80 to 90
District of Columbia 80 to 90
Illinois 80 to 90
Maryland 80 to 90
Massachusetts 80 to 90
Minnesota 80 to 90
New York/New Jersey 80 to 90
Washington 80 to 90
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
+ Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our products
+ Partner with teams to solve problems and identify trends and opportunities
+ Inform, influence, support, and execute our product decisions and product launches
+ Forecasting and goaling, designing, and evaluating experiments, building and analyzing dashboards and reports, and evaluating and defining metrics
+ Exploratory Analysis: proposing roadmap items, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis
+ Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results
+ Data Infrastructure: Hadoop and Hive, MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL
+ Knowledge of statistics: hypothesis testing, regression
Basic Qualifications:
+ Minimum 5 years of work experience with at least 2 years of experience in Data Science
+ Minimum 2 years of experience in SQL
+ Minimum 2 years of experience in Python
+ High School Diploma or GED
Preferred Qualifications:
+ Data Analytics
+ Statistics
+ Good communication skills
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Hourly Salary Range
California $80 to $0
Cleveland 80 to 90
Colorado 80 to 90
District of Columbia 80 to 90
Illinois 80 to 90
Maryland 80 to 90
Massachusetts 80 to 90
Minnesota 80 to 90
New York/New Jersey 80 to 90
Washington 80 to 90
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
+ Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our products
+ Partner with teams to solve problems and identify trends and opportunities
+ Inform, influence, support, and execute our product decisions and product launches
+ Forecasting and goaling, designing, and evaluating experiments, building and analyzing dashboards and reports, and evaluating and defining metrics
+ Exploratory Analysis: proposing roadmap items, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis
+ Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results
+ Data Infrastructure: Hadoop and Hive, MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL
+ Knowledge of statistics: hypothesis testing, regression
Basic Qualifications:
+ Minimum 5 years of work experience with at least 2 years of experience in Data Science
+ Minimum 2 years of experience in SQL
+ Minimum 2 years of experience in Python
+ High School Diploma or GED
Preferred Qualifications:
+ Data Analytics
+ Statistics
+ Good communication skills
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Hourly Salary Range
California $80 to $0
Cleveland 80 to 90
Colorado 80 to 90
District of Columbia 80 to 90
Illinois 80 to 90
Maryland 80 to 90
Massachusetts 80 to 90
Minnesota 80 to 90
New York/New Jersey 80 to 90
Washington 80 to 90
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Build models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
9. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following
11. Relational database (SQL)
12. Developing in scripting language (Python, R)
13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive)
14. Data Visualization (Tableau)
**Public Compensation:**
$165,787/year to $196,900/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Build models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
9. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following
11. Relational database (SQL)
12. Developing in scripting language (Python, R)
13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive)
14. Data Visualization (Tableau)
**Public Compensation:**
$165,787/year to $196,900/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Job Location
CINCINNATI GENERAL OFFICES
Job Description
Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), we want you on our team at P&G.
As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms and collaborate with Data and Software Engineering teams to productionize these solutions. Your technical knowledge will empower you to apply exploratory data analysis, feature engineering, and model building on massive datasets, delivering accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.
Key Responsibilities:
+ Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
+ Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.
+ Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
+ Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
+ Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.
Job Qualifications
Required Qualifications:
+ Education: Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
+ Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.
+ Communication: Strong written and verbal communication skills, with the ability to influence others to take action.
Preferred Qualifications:
+ Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, and Simulation to real-world problems.
+ Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
+ Data Handling: Experience with large datasets and cloud computing platforms such as GCP or Azure.
+ DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices.
Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits . Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.
We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE ( .
Procter & Gamble participates in e-verify as required by law.
Qualified individuals will not be disadvantaged based on being unemployed.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Schedule
Full time
Job Number
R
Job Segmentation
Entry Level
Starting Pay / Salary Range
$85,000.00 - $115,000.00 / year

Sr Data Scientist - GD07AEData Scientist - GD08AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Step into the future with The Hartford as a Data Scientist / Sr Data Scientist, where Generative AI isn't just a buzzword- it's central to our strategy. Join a team that's pioneering AI-driven solutions in underwriting, claims processing, and customer service, transforming how we operate and make decisions. As part of our horizontal language-focused Gen AI team, you'll tackle advanced use cases and shape the development of Gen AI capabilities across the organization. Here, your work will have a tangible impact, driving innovation and operational excellence with cutting-edge AI tools. If you're looking for a role where your expertise is not only valued but essential to our success, The Hartford is the place for you.
We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).
Responsibilities :
+ Support The Hartford's AI innovation strategy to identify and implement high-end use cases , ensuring alignment with business objectives and emerging industry trends.
+ Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.
+ P artner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.
+ Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.
+ Rapidly prototype with cutting-edge t ools, such as VertexAI / Google a gent development kit, LangChain / LangGraph , RAG frameworks, HuggingFace , OpenAI APIs, etc.
+ Research and recommend noval foundation model options, tools, and libraries to improve solutions in performance and reliability.
+ Develop evaluation pipelines for generati ve outputs using a mix of automatic metrics, human feedback, and llm -as-a-judge methods.
+ Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment.
Qualifications :
+ Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field .
+ 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI .
+ Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain / LangGraph , RAG frameworks, HuggingFace , OpenAI APIs, etc.
+ Solid understanding of prompt engineering, retrieval-augmented generation (RAG) , agent workflow, and LLM evaluation.
+ Proficiency in Python and ML frameworks such as PyTorch , TensorFlow, etc.
+ Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc.
+ Strong analytical, problem solving and debugging skills.
+ Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
+ Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$90,160 - $166,080
The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
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