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Data Science Jobs in Baton Rouge, LA (NOW HIRING)

Varsity Tutors

TEAS Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving algebraic equations, analyzing sentence structure, and managing time across four test sections. Emphasizes ...

JM TEST SYSTEMS LLC

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Math, Sciences, or a related field (Master's degree preferred). * 2+ years of experience in analytics, commercial ...

Varsity Tutors

Computer Programming Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Eisneramper Llp

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field or related work experience. * 6+ years of software development experience with 4+ years in AI/ML ...

Lindsay & Brownell

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field or related work experience. * 6+ years of software development experience with 4+ years in AI/ML ...

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All JobsData Science JobsData Science Jobs in Baton Rouge, LA

Data Science information

See Baton Rouge, LA salary details

$29.4K

$96.3K

$154.2K

How much do data science jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data science in Baton Rouge, LA is $96,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $106,700.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Baton Rouge, LA? The most popular types of Data Science jobs in Baton Rouge, LA are:
What are popular job titles related to Data Science jobs in Baton Rouge, LA? For Data Science jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Baton Rouge, LA look for? The top searched job categories for Data Science jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Data Science jobs? Cities near Baton Rouge, LA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Baton Rouge, LA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,294 per year, or $46.3 per hour.
Medical Science Liaison (Gastroenterology) - Gulf Coast

Medical Science Liaison (Gastroenterology) - Gulf Coast

Ardelyx

Baton Rouge, LA • On-site

$151K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Ardelyx is a commercial-stage biopharmaceutical company focused on redefining treatment approaches for patients with significant unmet medical needs. By combining scientific innovation with a collaborative, purpose-driven culture, we strive to create meaningful impact for patients.
Team Ardelyx is united by a shared mission and guided by our core values: Passionate, Fearless, Dedicated, and Inclusive.
We foster an inclusive environment where employees are respected, supported, and empowered to make an impact - both within our company and in the lives of patients we serve.
Position Summary:
The Medical Science Liaison (MSL) serves as a field-based advanced technical, scientific, and medical expert, answers product-related questions from HCPs, and provides clinical/scientific presentations and medical education programs. The MSL is responsible for developing, coordinating, and assuring implementation of Ardelyx's corporate, scientific, and clinical strategies with Key Opinion Leaders (KOLs) within academic, clinical, and healthcare organizations. These scientific exchanges will support and/or expand current therapeutic concepts, as well as ensure the safe and effective utilization of Ardelyx's assets.
The MSL builds upon the foundational responsibilities of the MSL by providing advanced scientific engagement and deeper strategic input. The MSL is recognized as a subject matter expert, mentor to peers, and key contributor to national field medical initiatives as required, playing an important role in aligning field insights with broader medical strategy.
Responsibilities:
  • Serve as the primary field-based medical liaison in providing medical information and scientific exchange to external/internal stakeholders
  • Identify, establish, and manage collaborative relationships with local, national, and regional medical/scientific leaders/investigators to identify and address scientific needs
  • Present healthcare professionals and decision makers with accurate, unbiased, balanced, and timely answers to unsolicited requests for information in the therapeutic field responsible
  • Establish scientific and clinical relationships with thought leaders and academic/community centers to expand research and educational opportunities
  • Engage in non-product discussions regarding scientific topics (e.g., disease state, diagnosis, epidemiology, unmet medical need, population health, etc.)
  • Prioritize and work effectively in a self-directed manner in a constantly changing environment, including ability to obtain, integrate and communicate HCP feedback
  • Participate in advisory boards and other company meetings
  • Attend key medical and scientific congresses and conferences (local, regional and national) as needed
  • Lead department-wide projects and participate in cross-functional activities that serve strategic initiatives
  • Provide strategic insights by maintaining expertise in the therapeutic area and related fields to effectively communicate scientific insights and support strategic objectives
  • Monitor the competitive environment for advances and trends in the therapeutic area, including new treatment management and therapies, competitive products and provide feedback to internal stakeholders on specific initiatives of competitors
  • Serves as peer leader to mentor and coach new or junior MSLs, supporting onboarding, training, and field excellence
Qualifications:
  • Doctorate degree (PharmD, PhD, MD, DNP, etc) in biological sciences with 0-4 years of MSL Medical Affairs expertise within the therapeutic area or equivalent experience
  • Advanced Medical/Scientific masters degree (NP, PA) with combined extensive clinical expertise will be considered
  • Ability to apply technical expertise and solutions to diverse/individualized situations
  • Critical data analysis skills
  • Excellent communication & presentation skills
  • Networking skills and the confidence to interact with senior experts on a peer-to-peer level
  • Demonstrated ability to integrate and work in cross functional network/matrix
  • Prior experience in mentorship of medical science liaisons
  • Demonstrated project management ability
  • Knowledge of FDA and OIG requirements, as well as the PhRMA Code, including regulations governing compliant scientific exchange
  • Ability to travel locally, regionally, and nationally as requested/required; up to 70% travel
  • Valid driver's license
The anticipated annualized base pay range for this full-time position is $151,000-$205,000. Ardelyx utilizes industry data to ensure that our compensation is competitive and aligned with our industry peers. Actual base pay will be determined based on a variety of factors, including years of relevant experience, training, qualifications, and internal equity. The compensation package may also include an annual bonus target and equity awards, subject to eligibility and other requirements.
Ardelyx also offers a robust benefits package to employees, including a 401(k) plan with generous employer match, 12 weeks of paid parental leave, up to 12 weeks of living organ and bone marrow leave, equity incentive plans, health plans (medical, prescription drug, dental, and vision),life insurance and disability, flexible time off, annual Winter Holiday shut down, and at least 11 paid holidays.
Ardelyx is an equal opportunity employer.
Employment Type: Full-Time

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