1

Data Scientist Jobs in Alabaster, AL (NOW HIRING)

Data Scientist Experience 3-6 Years Job Type Full-Time Job Summary We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and provide data-driven insights ...

Win as a Team Job Summary Moultrie is looking for a Data Scientist to join the growing Data and Analytics Team. This team owns the development of insights from extraction that power decision-making ...

Win as a Team Job Summary Moultrie is looking for a Data Scientist to join the growing Data and Analytics Team. This team owns the development of insights from extraction that power decision-making ...

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates ...

Mindlance is a company seeking an experienced Data Scientist to leverage advanced analytics and machine learning to inform business decisions. The role involves data analysis, predictive modeling ...

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Senior Data Scientist Experience: 6-10 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite Department: Data Science & AI Job Summary We are seeking an experienced Senior Data Scientist to ...

DATA SCIENTIST ASSOCIATE

Birmingham, AL · On-site

$77K - $126K/yr

Data Scientist Associate University of Alabama at Birmingham The position leads the administration and maintenance of data systems for the UAB Alzheimer's Disease Research Center (ADRC). Provides ...

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of statistical analysis and machine learning tasks, ranging from designing and evaluating experiments ...

next page

Showing results 1-20

Data Scientist information

See Alabaster, AL salary details

$31.9K

$104.4K

$167.2K

How much do data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data scientist in Alabaster, AL is $104,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $115,700.00 per year, depending on experience, location, and employer.

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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Alabaster, AL?

The most popular types of Data Scientist jobs in Alabaster, AL are:

What are popular job titles related to Data Scientist jobs in Alabaster, AL?

For Data Scientist jobs in Alabaster, AL, the most frequently searched job titles are:

What cities near Alabaster, AL are hiring for Data Scientist jobs?

Cities near Alabaster, AL with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Alabaster, AL as of August 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $104,436 per year, or $50.2 per hour.

Data Scientist

On-site

Vultus Inc
Software Development • 11 - 50 employees

Full-time

Posted 15 days ago


Job description

Data Scientist

Experience

3–6 Years

Job Type

Full-Time

Job Summary

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and provide data-driven insights that support business decisions. The ideal candidate should have strong experience in machine learning, statistical analysis, Python, SQL, and data visualization.

Key Responsibilities
  • Collect, clean, preprocess, and analyze structured and unstructured data.
  • Develop and deploy machine learning and statistical models.
  • Perform exploratory data analysis and identify meaningful patterns and trends.
  • Build predictive and classification models using appropriate algorithms.
  • Evaluate model performance and optimize models for accuracy and scalability.
  • Work with stakeholders to understand business requirements and translate them into analytical solutions.
  • Create dashboards, reports, and visualizations to communicate insights effectively.
  • Perform feature engineering, model validation, and hyperparameter tuning.
  • Collaborate with Data Engineers, Software Engineers, and Business Teams.
  • Monitor deployed models and improve performance based on new data.
  • Document methodologies, analysis, models, and results.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Statistical Analysis
  • Pandas & NumPy
  • Scikit-learn
  • Data Cleaning & Preprocessing
  • Predictive Modeling
  • Feature Engineering
  • Data Visualization
Secondary Skills
  • TensorFlow / PyTorch
  • Power BI / Tableau
  • NLP
  • Deep Learning
  • Azure / AWS / GCP
  • Spark
  • Jupyter Notebook
  • Git
  • MLOps
Educational Qualification
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Preferred Experience
  • 3–6 years of experience in Data Science, Machine Learning, or a related field.
  • Strong understanding of statistics and machine learning algorithms.
  • Experience working with large datasets and databases.
  • Good problem-solving and analytical skills.
  • Strong communication and presentation skills.
Salary

₹8 LPA – ₹20 LPA, depending on experience and skill set.