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Director Baseball Data Analyst Jobs in Raleigh, NC

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Director, Data Sciences The selected individual for this role will be expected to work in our ... Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to ...

Pwc

AI & GenAI Data Scientist-Director

Raleigh, NC · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Gilead

Assoc Director, IT Data Engineering

Raleigh, NC · Hybrid

This position will report to the Director, Data/Analytics/AI (D&A Digital Marketing) and is based in Raleigh, NC (hybrid eligible). Key Responsibilities: * Own end to end delivery of US Commercial ...

Gilead

Assoc Director, IT Data Engineering

Raleigh, NC · Hybrid

This position will report to the Director, Data/Analytics/AI (D&A Digital Marketing) and is based in Raleigh, NC (hybrid eligible). Key Responsibilities: * Own end to end delivery of US Commercial ...

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All JobsBaseball Data Analyst JobsDirector Baseball Data Analyst JobsDirector Baseball Data Analyst Jobs in Raleigh, NC

Director Baseball Data Analyst information

What is the difference between Director Baseball Data Analyst vs Baseball Data Analyst?

AspectDirector Baseball Data AnalystBaseball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Management, or related field; extensive experienceBachelor's in Data Science, Sports Management, or related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams, strategic planning, collaboration with executivesData analysis, reporting, and modeling primarily focused on specific projects
Employer & Industry UsageMajor league teams, sports organizations, analytics firmsTeams, sports organizations, analytics companies, media outlets

The main difference between a Director Baseball Data Analyst and a Baseball Data Analyst lies in their level of responsibility and scope. The director oversees teams, strategic initiatives, and high-level decision-making, while the analyst focuses on data collection, analysis, and reporting. Both roles require strong analytical skills and relevant credentials, but the director's role is more leadership-oriented.

What are the key skills and qualifications needed to thrive as a director baseball data analyst, and why are they important?

To thrive as a Director Baseball Data Analyst, you need deep expertise in statistical analysis, data modeling, and a strong background in sports analytics, typically supported by a degree in statistics, mathematics, or a related field. Advanced proficiency with programming languages like Python or R, experience with SQL databases, and familiarity with baseball-specific analytics tools such as TrackMan or Statcast are essential. Leadership, communication, and strategic thinking are crucial soft skills for guiding teams and translating data insights into actionable strategies. These skills are vital for driving data-informed decision-making that enhances team performance and competitive advantage.

What does a director baseball data analyst do?

A Director Baseball Data Analyst leads a team responsible for collecting, analyzing, and interpreting baseball-related data to support decision-making for a professional baseball organization. This role involves overseeing advanced statistical modeling, performance analysis, and the development of data-driven strategies to enhance player evaluation, scouting, and game tactics. The director collaborates closely with coaches, scouts, and front office executives to provide actionable insights that help optimize team performance and improve overall organizational success.

How does a director baseball data analyst typically collaborate with coaches and front office staff to influence team strategy?

A Director Baseball Data Analyst works closely with coaches and the front office by translating complex data into actionable insights that inform player development, game tactics, and roster decisions. Regular meetings and presentations are held to review findings, discuss player performance metrics, and evaluate strategic options. Effective communication is crucial, as analysts must bridge the gap between technical data and practical applications on the field, ensuring that stakeholders understand and can act on the recommendations provided. This collaborative environment fosters innovation and helps the team maintain a competitive edge.
What are the most commonly searched types of Baseball Data Analyst jobs in Raleigh, NC? The most popular types of Baseball Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Director Baseball Data Analyst jobs in Raleigh, NC? For Director Baseball Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Director Baseball Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Director Baseball Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Director Baseball Data Analyst jobs? Cities near Raleigh, NC with the most Director Baseball Data Analyst job openings:
Director Baseball Data Analyst jobs near you

Director, Data Sciences

LexisNexis

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

186th of 483 rated business services

Job description

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **
About our Team:
LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.
About the Role:
The Director, Data Sciences raises data-driven decision making of a function within a business unit through team leadership. They are also client/industry-facing, and they evangelize methodologies and best practices. They lead people and teams to develop an overall strategy for the execution of projects including creating use cases, roadmaps, alignment of stakeholders, and prioritization. This person acts as coach and leader of Managers and Data Scientists, as well as other resources. Influence should extend outside the director's immediate team to other teams within the director's peers. The Director drives development and implementation across the team to the business, rooted in a deep understanding of our customers, markets, trends, and challenges.
Responsibilities:
  • Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.
  • Team Management: Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
  • Advanced Research Direction: Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches.
  • Machine Learning and AI Solutions: Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
  • Data Collection and Preparation: Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.
  • Data Visualization Strategy: Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
  • Cross-functional Collaboration: Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.
  • Model Deployment and MLOps: Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.
  • Documentation Standards: Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.
  • Stakeholder Management: Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.
  • Budget and Resource Management: Manage departmental budget, resource allocation, and infrastructure needs for data science operations.
  • Ethical AI Governance: Develop and enforce ethical guidelines and best practices for AI development and deployment.

Requirements:
  • Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.
  • 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.
  • Demonstrated experience in managing and scaling data science teams of 15+ professionals.
  • Proven record of delivering high-impact AI and ML solutions that have driven significant business value.
  • Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.
  • Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.
  • Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.
  • Strong business acumen with the ability to translate complex technical concepts into business value.
  • Excellent communication and leadership skills, with experience presenting to executive leadership.
  • Experience working in a global or multicultural environment
  • Record of successful collaboration with product, engineering, and business teams.
  • Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.

Work in a way that works for you:
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business:
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
#AIFluency
U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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