What Jobs are available for Data Scientist in Jacksonville?

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Jacksonville, Florida, United States of America
**Job Description:**
**We are currently seeking a strategic and technically strong Lead Data Scientist based in Jacksonville FL, Raritan NJ or Raynham, MA.**
**About Vision:**
**Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.**
**Are you passionate about improving and expanding on the possibilities of vision treatments? Ready to join a team that's reimagining how vision is improved? Our Vision team solves the toughest health challenges. Help combine cutting-edge insights, science, technology, and people to encourage eye care professionals and patients to proactively protect, correct and enhance healthy sight for life. Our products and services address these needs - from the pediatric to aging eye - in a patient's lifetime.**
**Your unique talents will help patients on their journey to wellness. Learn more at** ** the Role:**
**The Vision Global Data & Data Science team is seeking a Lead Data Scientist to join our dynamic Data Science team, dedicated to supporting our Commercial organization. This role will focus on evaluating marketing and campaign strategies with the goal of optimizing performance & sales. You will play a critical role in designing and executing advanced analytical solutions to measure the effectiveness of marketing initiatives, while identifying the best measurement frameworks for various use cases.**
**The Lead Data Scientist will:**
**Develop Advanced Models: Lead the creation and maintenance of Marketing Mix Models (MMMs) to assess the contribution of various marketing channels to sales.**
**Experiment Design: Design and execute Randomized Controlled Trials (RCTs) to evaluate the causal impact of marketing and campaign tactics.**
**Observational Studies: Implement observational studies to inform decision-making when experimentation is not feasible.**
**Select the Right Tool: Assess and deploy appropriate measurement methods (e.g., experimental vs. observational) based on the business question, data structure, and context.**
**Insights Delivery: Translate model outputs and analytical findings into actionable recommendations for the marketing and sales teams.**
**Stakeholder Collaboration: Partner closely with marketing, analytics, and sales leaders to align solutions with business needs.**
**Programming & Automation: Build reproducible pipelines and robust scripts using R and Python to automate workflows.**
**Visualization: Create compelling dashboards and visualizations for non-technical stakeholders to understand performance insights clearly.**
**Work with Global & Regional teams to collect data, design, build, and implement AI/ML models to support Vision Care initiatives and improve its outcomes**
**Partner with our Data Operating Model team to enable a sustainable life cycle journey for prioritized data, including ingestion, cataloguing, data quality controls, & data governance**
**Perform other related tasks as assigned by management**
**Required Qualifications**
**Master's Degree / PhD + 2 years' experience, OR Bachelor's Degree + 4 years' experience**
**Educational degree in quantitative field, such as Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, and/or related quantitative**
**Proven experience with Regression Analysis, Marketing Mix Modeling (MMM), and other advanced statistical techniques.**
**Advanced knowledge of R and Python for data manipulation, analysis, and modeling.**
**Experience interpreting and communicating analytic results to analytical and non-analytical business partners**
**Ability to travel both domestically and internationally may be required (~5-10%).**
**Ability to flex hours to accommodate multiple time zones when necessary.**
**Preferred Qualifications**
**Experience working in Commercial Analytics or directly supporting Marketing and Sales teams.**
**Familiarity with marketing analytics platforms (e.g., Google Analytics, Adobe Analytics, etc.) is a plus.**
**Hands-on experience with software frameworks or cloud platforms (e.g., AWS, GCP, or Azure).**
**A deep understanding of causal inference techniques like Propensity Scoring and Instrumental Variables.**
**Previous experience applying open-sourced MMM frameworks like Meta's Robyn**
**Experience working in large matrixed organization, with Global footprint**
**The anticipated base pay range for this position is $124,950 to $69,000.**
**The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis.**
**Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.**
**Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).**
**Employees are eligible for the following time off benefits:**
**Vacation - up to 120 hours per calendar year**
**Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year**
**Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year**
**Additional information can be found through the link below.** ** compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.**
**#LIHybrid**
**The anticipated base pay range for this position is :**
Additional Description for Pay Transparency:
-

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
Data Scientist (REMOTE)
Data Scientist (Remote)
**PRIMARY PURPOSE OF THE ROLE:** To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.
**ARE YOU AN IDEAL CANDIDATE?** We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic.
**ESSENTIAL RESPONSIBLITIES MAY INCLUDE**
+ Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders
+ Help to build, prototype, and deploy machine learning models in sandbox and production environments
+ Produce reports to communicate metrics and outcomes of stakeholder interest
+ Assist with developing and maintaining end-to-end ETL data pipelines
+ Work to explore new internal data sources and their utility within projects
+ Communicate modeling challenges, findings, and outcomes to stakeholders
**QUALIFICATIONS**
+ Insurance claims knowledge preferred
+ Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
+ Experience writing Python or R code, and notebook environments
+ Knowledge of common unsupervised/supervised ML techniques
**TAKING CARE OF YOU**
+ Career development and promotional growth opportunities.
+ A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more.
#IT
#informationtechnology
#Datascience
#Datascientist
Work environment requirements for entry-level opportunities include -
Physical: Computer keyboarding
Auditory/visual: Hearing, vision and talking
Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Sedgwick retains the discretion to add or to change the duties of the position at any time.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
**If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.**
**Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see** **sedgwick.com**

Jacksonville, Florida, US . Our client is excited to offer an exceptional opportunity for a motivated Junior Data Scientist to join their innovative analytics team. This entry-level position is perfect for a recent graduate or early-career professional eager to apply their academic knowledge to real-world data challenges. You will work closely with senior data scientists and engineers to clean, analyze, and interpret complex datasets, developing predictive models and generating actionable insights that drive business decisions. The ideal candidate will possess a strong quantitative background, a passion for data, and a foundational understanding of statistical methods and machine learning algorithms.

Key responsibilities include assisting in the collection, processing, and transformation of large datasets. You will contribute to the development and validation of statistical models and machine learning algorithms, under the guidance of experienced mentors. This role involves data visualization, creating reports and dashboards to communicate findings effectively to various stakeholders. You will also participate in exploratory data analysis, identifying patterns and trends. A strong desire to learn and develop new skills in data science, programming languages (e.g., Python, R), and data manipulation tools is essential. This internship offers hands-on experience with cutting-edge technologies and methodologies in a collaborative and supportive environment. We are looking for a curious and analytical individual who is eager to grow their career in data science and make a meaningful contribution to our client's data-driven initiatives.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Foundational knowledge of statistical modeling and machine learning concepts.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data manipulation libraries (e.g., Pandas) and SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Eagerness to learn and adapt to new technologies.
• Previous internship or project experience in data analysis is a plus.

Our client is seeking a highly skilled and motivated Senior Data Scientist to join their innovative analytics team. This role offers a hybrid work arrangement, combining the benefits of in-office collaboration with remote flexibility, based in Jacksonville, Florida, US . You will be responsible for leveraging advanced statistical and machine learning techniques to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. The ideal candidate will have a strong foundation in data modeling, predictive analytics, and experience with big data technologies. You will work closely with business stakeholders to identify key challenges and opportunities, translating them into data science problems and delivering robust, scalable solutions.

Responsibilities:

• Design, develop, and implement advanced statistical models and machine learning algorithms.
• Perform exploratory data analysis to uncover trends, patterns, and insights.
• Build and deploy predictive models for forecasting, classification, and optimization.
• Clean, transform, and prepare large, complex datasets for analysis.
• Collaborate with engineering teams to integrate models into production systems.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the team's technical growth.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Develop and maintain data pipelines and analytical infrastructure.
• Evaluate and recommend new tools and technologies to enhance data science capabilities.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science or a related analytical role.
• Proficiency in programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, or PyTorch.
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) and associated data services.
• Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation abilities.
• Proven ability to manage multiple projects and deliver results in a timely manner.

This is a fantastic opportunity to contribute to cutting-edge data initiatives within a growing company and make a tangible impact on business strategy.

Our client is looking for ambitious and talented recent graduates to join their Data Science team. This is an exceptional opportunity for individuals seeking to launch their career in a data-driven environment, working on challenging and impactful projects. The Graduate Data Scientist will contribute to the analysis of complex datasets, the development of predictive models, and the extraction of actionable insights to drive business decisions. Responsibilities will include: cleaning, transforming, and analyzing large datasets using statistical and machine learning techniques; developing and validating predictive models and algorithms; collaborating with business stakeholders to understand data needs and translate them into analytical solutions; visualizing data and communicating findings effectively through reports and presentations; staying current with the latest advancements in data science, machine learning, and artificial intelligence; assisting in the design and implementation of A/B tests and other experiments; documenting methodologies and code for reproducibility and knowledge sharing; participating in team meetings and contributing to the overall data strategy of the organization.

The ideal candidate will possess a Master's or Ph.D. degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline. Strong analytical and problem-solving skills are paramount, along with a solid understanding of statistical modeling, machine learning algorithms, and data mining techniques. Proficiency in programming languages commonly used in data science, such as Python or R, is required. Experience with SQL for data extraction and manipulation is essential. Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Spark, Hadoop) is a plus. Excellent communication and presentation skills are necessary to convey complex findings to diverse audiences. The ability to work effectively both independently and as part of a collaborative team is crucial. This role is located in **Jacksonville, Florida, US**, and adopts a hybrid work model, blending in-office collaboration with remote flexibility. We seek candidates who are curious, proactive, and eager to learn and grow within a dynamic tech environment.

Our client, a pioneering analytics firm, is actively seeking enthusiastic and aspiring Junior Data Scientists for a fully remote internship program. This is an exceptional opportunity for individuals looking to launch their careers in data science, gaining hands-on experience with real-world data and complex analytical challenges. You will work closely with our team of experienced data scientists, contributing to various projects that involve data cleaning, exploration, statistical analysis, and predictive modeling. Key responsibilities include assisting in the development and implementation of machine learning models, performing data visualization to uncover insights, and supporting the preparation of data for analysis. You will gain exposure to a wide range of tools and technologies, including Python or R, SQL, and various data science libraries. The ideal candidate will possess a strong foundation in statistics, mathematics, and computer science, with a demonstrated passion for data and problem-solving. While prior professional experience is not strictly required, projects completed during academic studies or personal endeavors that showcase data analysis skills are highly valued. Excellent analytical thinking, attention to detail, and effective communication skills are crucial. This internship is conducted entirely remotely, allowing you to participate from any location. Our client is committed to fostering a supportive learning environment where interns can develop their skills and contribute meaningfully to our projects. This is a fantastic stepping stone for anyone passionate about uncovering insights from data and building a career in this in-demand field. We look forward to welcoming motivated individuals eager to learn and grow.

Our client is a forward-thinking technology company committed to leveraging data to drive innovation and business success. We are seeking an enthusiastic and motivated Junior Data Scientist to join our fully remote, dynamic team. This internship offers an invaluable opportunity to gain hands-on experience in data analysis, model development, and machine learning within a supportive and collaborative virtual environment. You will work alongside experienced data scientists, contributing to real-world projects and applying theoretical knowledge to practical challenges.

Key responsibilities will include collecting, cleaning, and preprocessing large datasets from various sources. You will assist in developing and implementing machine learning models for prediction, classification, and clustering tasks. Performing statistical analysis, identifying trends, and generating insights from data will be integral to this role. You will also be involved in visualizing data to communicate findings effectively to team members and stakeholders.

The ideal candidate will be pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong academic record. Foundational knowledge of statistical concepts and machine learning algorithms is required. Proficiency in programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn), are essential. Excellent problem-solving skills and a keen attention to detail are a must. The ability to work independently, manage tasks effectively, and communicate technical concepts clearly in a remote setting is highly valued. This is an exceptional opportunity for aspiring data scientists to kickstart their careers and contribute to impactful projects, all from a remote location, while being part of a team based in Jacksonville, Florida, US .

Our client is seeking an eager and talented Junior Data Scientist for a valuable internship opportunity in Jacksonville, Florida, US . This role is designed for individuals passionate about data analysis, machine learning, and statistical modeling, looking to gain practical experience in a professional setting. The ideal candidate is currently pursuing a degree in a quantitative field and possesses a foundational understanding of data science principles. You will work closely with senior data scientists and analysts, contributing to various projects that involve cleaning, transforming, and analyzing large datasets to extract meaningful insights. Key responsibilities include assisting in the development and implementation of predictive models, performing exploratory data analysis, and visualizing data to communicate findings effectively. Proficiency in programming languages such as Python or R, along with experience in relevant libraries (e.g., Pandas, NumPy, Scikit-learn), is highly desirable. Familiarity with SQL for database querying is also beneficial. This position offers a fantastic learning environment where you can apply theoretical knowledge to real-world challenges. You will gain exposure to industry-standard tools and methodologies, hone your analytical skills, and contribute to data-driven decision-making processes. Strong communication skills are essential for collaborating with team members and presenting findings. We are looking for a motivated individual with a strong desire to learn and grow within the field of data science. This internship provides a stepping stone for a future career in data analytics or machine learning.
Responsibilities:

• Assist in collecting, cleaning, and preprocessing large datasets.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Support the development and testing of machine learning models.
• Create data visualizations to effectively communicate findings.
• Collaborate with senior data scientists on various analytical projects.
• Write and maintain clear, concise code for data analysis tasks.
• Document methodologies and results of analytical tasks.
• Participate in team meetings and contribute to discussions.
• Learn and apply new data science techniques and tools.
• Assist in preparing reports and presentations of findings.

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Foundational knowledge of statistical analysis and machine learning concepts.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Basic understanding of SQL for data querying is a plus.
• Strong analytical and problem-solving skills.
• Good written and verbal communication skills.
• Eagerness to learn and a proactive attitude.
• Ability to work independently and as part of a team.

Description & Requirements

We now have an exciting opportunity for a Senior Data Scientist to join the Maximus AI Accelerator supporting the enterprise at large. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.

You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.

This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)

This is a remote position.

Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.
- Develop mathematically rigorous process improvement procedures.
- Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

Job-Specific Essential Duties and Responsibilities:

- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.

- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.

- Contribute to the development of mathematically rigorous process improvement procedures.

- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments

Minimum Requirements

- Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience.

Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):

- Professional Programming experience (e.g. Python, R, etc.)

- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.

- Experience with API programming

- Experience with Linux

- Experience with Statistics

- Experience with Machine Learning

- Experience working as a contributor on a team

Minimum Education requirement:

- BS in a quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.)

Years of Required Work-Related Experience:

- 5+ yrs experience in Artificial Intelligence and Machine Learning

- 5+ yrs experience in Software Development

Required Certifications:

- None

Preferred Skills and Qualifications:

- Masters in quantitative discipline

- Experience developing machine learning or signal processing algorithms:

- Ability to leverage mathematical principles to model new and novel behaviors.

- Ability to leverage statistics to identify true signals from noise or clutter

- Experience working as an individual contributor in AI

- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.

- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles

- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.

- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.

- Use of a variety of programming languages, including but not limited to Python/Java and frontend frameworks for POC demos and dashboarding

- Use and development of program automation, CI/CD, DevSecOps, and Agile

- Experience with deep learning model architecture development and philosophy
- Cloud certifications (AWS, Azure, or GCP)
- 5+ yrs of related experience in AI, advanced analytics, computer science, or software development.
- Python Experience with TensorFlow, PyTorch, and Pandas

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at .

Minimum Salary

$

150,000.00

Maximum Salary

$

180,000.00