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Data Science Jobs in Mobile, AL (NOW HIRING)

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by ...

I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by ...

I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by ...

I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Senior SEM Specialist

Mobile, AL

$77K - $95K/yr

Partner with Analytics, Data Science, Creative, UX, Web, and Marketing teams to improve campaign effectiveness, measurement, attribution, and conversion performance. Analyze campaign performance and ...

Senior SEM Specialist

Mobile, AL

$77K - $95K/yr

Partner with Analytics, Data Science, Creative, UX, Web, and Marketing teams to improve campaign effectiveness, measurement, attribution, and conversion performance. Analyze campaign performance and ...

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Data Science information

See Mobile, AL salary details

$37.2K

$121.8K

$195K

How much do data science jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data science in Mobile, AL is $121,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $135,000.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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.

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 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 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.
What are the most commonly searched types of Data Science jobs in Mobile, AL? The most popular types of Data Science jobs in Mobile, AL are:
What are popular job titles related to Data Science jobs in Mobile, AL? For Data Science jobs in Mobile, AL, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Mobile, AL look for? The top searched job categories for Data Science jobs in Mobile, AL are:
What cities near Mobile, AL are hiring for Data Science jobs? Cities near Mobile, AL with the most Data Science job openings:
Infographic showing various Data Science job openings in Mobile, AL as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,797 per year, or $58.6 per hour.

Junior/Entry Level Data Scientist/Analyst

SynergisticIT

Mobile, AL โ€ข On-site

Other

Re-posted 5 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Don't Need Luck โ€” You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it's about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You'll work on highโ€demand technologies, build realโ€world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don't need luck โ€” you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learnโ€”but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough.โ€ It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AIโ€”full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AIโ€”so you don't graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95kโ€“$154k range depending on role and skill depth. For a new grad, the bigger message isn't the numberโ€”it's that results require a structured pathway, not random applications. Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentalsโ€”coding, debugging, data structures, system thinkingโ€”and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-levelโ€ candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectorsโ€โ€”they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuckโ€” Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.โ€ Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills โ†’ portfolio โ†’ interview readiness โ†’ targeted applications โ†’ scheduled interviews โ†’ offer. please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses.โ€ You need a guided, job-focused path and the right people around you. In tech, it's not just what you learnโ€”it's how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume