88 Data Leadership jobs in Columbus
Data Science Director
Posted 15 days ago
Job Viewed
Job Description
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/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
Vice President of Data Science and Analytics Leadership
Posted today
Job Viewed
Job Description
Vice President of Data Science and Analytics Leadership
About the Company
We are a leading healthcare provider dedicated to serving our local community effectively and efficiently.
Industry
Hospital & Health Care
Type
Privately Held, VC-backed
Founded
2020
Employees
51-200
Funding
$76-$100 million
Categories
- Health Care
- Healthcare
- Medical Care
- Ambulatory Services
- Ambulance
- Computer Programming
- Software
- Professional Services
- Computers
- Health Diagnostics
- Personal Health
- Primary and Urgent Care
About the Role
We are looking for an experienced and visionary Vice President of Data Science and Analytics Leadership who will be essential in shaping the strategic direction and impact of our data science and analytics initiatives. The ideal candidate will possess a strong technical background and a proven track record of delivering innovative solutions that generate significant business outcomes. Your key responsibilities will include:
- Establishing and promoting best practices for research and analytics.
- Creating a culture of excellence within the team to ensure outputs align with business impact and regulatory standards.
- Guiding the long-term growth of the DS&A organization through effective talent acquisition, retention, and succession planning.
- Building and scaling high-performing teams that can influence within our executive leadership.
The successful candidate will have 10-15 years of experience in data science, analytics, or related fields, with at least 5-7 years in senior leadership roles. An advanced degree in a quantitative field or equivalent experience is required. Key qualifications include:
- Deep expertise in advanced machine learning, statistical modeling, experimental design, and large-scale data processing.
- A history of leading significant research initiatives that provide measurable business value.
- Strong leadership, communication, and interpersonal skills.
- Extensive experience in data governance, MLOps, and quality assurance best practices.
- A solid understanding of data architecture principles, particularly in the healthcare domain.
Our company is committed to promoting diversity and ensuring a fair hiring process that emphasizes problem-solving and mutual empowerment.
Hiring Manager Title
Chief Data Science Officer
Travel Percent
Less than 10%
Functions
- Data Management/Analytics
Data Science Lead- Optimization
Posted today
Job Viewed
Job Description
Description
Citizens' Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies.
In this role, you will:
-
Design and build advanced decision support systems that facilitate robust scenario planning for various business decisions, including constrained optimization solutions for deposit interest rates, portfolio outcomes, and acquisition strategies
-
Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes
-
Develop relationships with other data scientists as well as partners in Finance, Pricing & Profitability, Product, Data, and Technology Services, to collaboratively deliver transformational optimization capabilities
-
Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions
A successful incumbent will have:
-
Master's degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field and 8+ years of experience delivering quantitative decision tools for business applications (or PhD and 5+ years of experience)
-
Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques
-
Proficient in Python with 5+ years of applied experience
-
Proficient with one or more optimization modeling package and solver (e.g. CPLEX, SCIP, Pyomo, SciPy)
-
A deep understanding of the theory and application of a variety of statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods
-
Excellent communication skills with both technical and non-technical audiences
-
Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects
-
Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker
-
A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment
-
Commitment to intellectual rigor and observance of compliance and data privacy controls
-
A disciplined approach to making decisions and setting expectations
-
Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data
-
Experience working with financial datasets (preferred)
Equal Employment Opportunity
It is the policy of Citizens Bank to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status, marital or domestic partner status, or any other category protected by federal, state and/or local laws.
#LI-Citizens1
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Why Work for Us
At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
09/30/2025
Head of Data Science
Posted 5 days ago
Job Viewed
Job Description
Head of Data Science
About the Company
Innovative AI startup specializing in document redaction solutions
Industry
Information Technology and Services
Type
Privately Held
About the Role
The Company is in search of a Head of Data Science to lead its AI/ML-powered document redaction solutions. The ideal candidate will be a hands-on leader with a strong background in production-grade NLP and PDF processing, particularly in the areas of PII detection and Named Entity Recognition. Experience in a lean environment and the ability to scale a small data science team while actively contributing to the build process are essential. The role involves inheriting one team member and gradually expanding the team, so a collaborative and execution-oriented mindset is a must. Key responsibilities for the Head of Data Science include bringing models to market, continuously optimizing them in real-world settings, and having a strong focus on MLOps. While experience with SageMaker is preferred, it is not required, as the learning curve is considered manageable. The successful candidate will be expected to have a startup mindset, be scrappy, and be comfortable working in production environments. Python fluency is a given, and the ability to work with a small team to deliver high-quality, customer-facing solutions is a critical aspect of the role.
Travel Percent
Less than 10%
Functions
- Data Management/Analytics
Data Science Lead- Optimization
Posted today
Job Viewed
Job Description
Citizens' Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies.
In this role, you will:
+ Design and build advanced decision support systems that facilitate robust scenario planning for various business decisions, including constrained optimization solutions for deposit interest rates, portfolio outcomes, and acquisition strategies
+ Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes
+ Develop relationships with other data scientists as well as partners in Finance, Pricing & Profitability, Product, Data, and Technology Services, to collaboratively deliver transformational optimization capabilities
+ Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions
A successful incumbent will have:
+ Master's degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field and 8+ years of experience delivering quantitative decision tools for business applications (or PhD and 5+ years of experience)
+ Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques
+ Proficient in Python with 5+ years of applied experience
+ Proficient with one or more optimization modeling package and solver (e.g. CPLEX, SCIP, Pyomo, SciPy)
+ A deep understanding of the theory and application of a variety of statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods
+ Excellent communication skills with both technical and non-technical audiences
+ Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects
+ Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker
+ A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment
+ Commitment to intellectual rigor and observance of compliance and data privacy controls
+ A disciplined approach to making decisions and setting expectations
+ Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data
+ Experience working with financial datasets (preferred)
Equal Employment Opportunity
It is the policy of Citizens Bank to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status, marital or domestic partner status, or any other category protected by federal, state and/or local laws.
#LI-Citizens1
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Why Work for Us
At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
09/30/2025
Data Science Manager, Monetization
Posted 14 days ago
Job Viewed
Job Description
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/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
Data Science Manager, Monetization
Posted 14 days ago
Job Viewed
Job Description
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/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
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Scrum Master, Data Science Team
Posted 5 days ago
Job Viewed
Job Description
Scrum Master - BA08AE
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.
We are seeking a highly motivated Scrum Master to join our Data Science team. The ideal candidate will have a strong background in project management and agile methodologies, as well as excellent relationship management and analytical skills. As a Scrum Master, you will be responsible for facilitating the agile process, ensuring the team adheres to Scrum principles, and helping the team deliver high-quality data science solutions that support the company's mission.
About the Data Science Team: The Data Science team enables the company's mission by creating innovative solutions using predictive analytics. Our suite of solutions enables decision augmentation, automation, and claim triage to ensure the right resource is involved in the right claim at the right time, increasing claim handling efficiencies, improving claim outcomes, and enhancing customer satisfaction.
Key Responsibilities:
-
Facilitate daily stand-ups, sprint planning, retrospectives, and other Scrum ceremonies.
-
Ensure the team adheres to Scrum principles and practices.
-
Remove impediments and blockers that hinder the team's progress.
-
Coach and mentor team members on agile practices and principles at various levels of maturity
-
Continuously improve the team's agile processes and practices.
-
Foster a collaborative and productive team environment.
-
Work closely with team members and management to ensure alignment on project goals and deliverables.
-
Track and report on team progress and performance metrics.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Qualifications:
-
Bachelor's degree in Computer Science , Data Science, or a related field.
-
Certified Scrum Master (CSM) , Professional Scrum Master (PSM) and/or Project Management Professional (PMP) certification.
-
Minimum of 3 years of experience as a Scrum Master or Project Manager .
-
Strong understanding of Scrum and Kanban A gile methodologies and usages in a non-IT environment
-
Successful leading Scrum teams in a non-traditional manner
-
Experience with D ata S cience projects and familiarity with data science tools and techniques.
-
Excellent relationship management and analytical skills.
-
Ability to work effectively with cross-functional teams and stakeholders.
-
Strong problem-solving skills and a proactive approach to addressing challenges .
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:
$92,000 - $138,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits (
Every day, a day to do right.
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.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us (
Our Culture
What It's Like to Work Here (
Perks & Benefits (
Legal Notice (
Accessibility StatementProducer Compensation (
EEO
Privacy Policy (
California Privacy Policy
Your California Privacy Choices (
International Privacy Policy
Canadian Privacy Policy (
Unincorporated Areas of LA County, CA (Applicant Information)
MA Applicant Notice (
Scrum Master, Data Science Team
Posted 6 days ago
Job Viewed
Job Description
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.
We are seeking a highly motivated Scrum Master to join our Data Science team. The ideal candidate will have a strong background in project management and agile methodologies, as well as excellent relationship management and analytical skills. As a Scrum Master, you will be responsible for facilitating the agile process, ensuring the team adheres to Scrum principles, and helping the team deliver high-quality data science solutions that support the company's mission.
About the Data Science Team: The Data Science team enables the company's mission by creating innovative solutions using predictive analytics. Our suite of solutions enables decision augmentation, automation, and claim triage to ensure the right resource is involved in the right claim at the right time, increasing claim handling efficiencies, improving claim outcomes, and enhancing customer satisfaction.
Key Responsibilities:
+ Facilitate daily stand-ups, sprint planning, retrospectives, and other Scrum ceremonies.
+ Ensure the team adheres to Scrum principles and practices.
+ Remove impediments and blockers that hinder the team's progress.
+ Coach and mentor team members on agile practices and principles at various levels of maturity
+ Continuously improve the team's agile processes and practices.
+ Foster a collaborative and productive team environment.
+ Work closely with team members and management to ensure alignment on project goals and deliverables.
+ Track and report on team progress and performance metrics.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Qualifications:
+ Bachelor's degree in Computer Science , Data Science, or a related field.
+ Certified Scrum Master (CSM) , Professional Scrum Master (PSM) and/or Project Management Professional (PMP) certification.
+ Minimum of 3 years of experience as a Scrum Master or Project Manager .
+ Strong understanding of Scrum and Kanban A gile methodologies and usages in a non-IT environment
+ Successful leading Scrum teams in a non-traditional manner
+ Experience with D ata S cience projects and familiarity with data science tools and techniques.
+ Excellent relationship management and analytical skills.
+ Ability to work effectively with cross-functional teams and stakeholders.
+ Strong problem-solving skills and a proactive approach to addressing challenges .
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:
$92,000 - $138,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
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.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits ( Notice ( StatementProducer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice (
Vice President of Marketing Data Science
Posted today
Job Viewed
Job Description
Vice President of Marketing Data Science
About the Company
Respected marketing analytics & media management firm
Industry
Marketing and Advertising
Type
Privately Held
About the Role
The Company is seeking a Vice President of Marketing Data Science to provide strategic leadership in the intersection of digital marketing, data science, AI, and measurement. The successful candidate will be responsible for partnering with internal stakeholders and clients to design and execute measurement solutions that enhance the performance of media programs, websites, and marketing initiatives. This role demands a deep understanding of media measurement and modeling, as well as proficiency in tools such as Google Analytics. The VP will also lead a team of analysts, mentor them, and be at the forefront of developing a vision to grow the analytics capability for both existing and new clients.
Applicants for the Vice President of Marketing Data Science position at the company should have a minimum of a bachelors degree in a relevant quantitative field and at least 10 years of experience in reporting and analytics, with a focus on marketing and advertising. The role requires a candidate with a strong background in database marketing, economic modeling, data mining, and predictive modeling, as well as experience in a services industry, such as agency or consulting. The ideal candidate will have a proven track record of providing actionable business insights from complex data, leading executive-level conversations, and recommending the best approaches to evaluate results. Proficiency in digital marketing analytics software and a deep understanding of the media landscape, site analytics, attribution, and CRM systems are essential. The role also demands strong project management skills, attention to detail, and experience with analytical software platforms and database querying tools.
Travel Percent
Less than 10%
Functions
- Marketing