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Temporary Data Science R Jobs in Alabama (NOW HIRING)

... data science, analytics, or a related role * Strong proficiency in statistics and probability * Proficiency in at least one programming language: * Python or * R * Hands-on experience with data ...

Bachelor's degree in a relevant field such as data science, computer science, engineering * Proficiency in MATLAB, with additional experience in Python, R, or MATLAB, is a primary requirement

Bachelor's degree in a relevant field such as data science, computer science, engineering * Proficiency in MATLAB, with additional experience in Python, R, or MATLAB, is a primary requirement

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Temporary Data Science R information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What jobs can you get knowing R?

Knowing R can qualify you for roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs involve data manipulation, statistical analysis, and visualization, often requiring familiarity with R packages like ggplot2 or dplyr and sometimes additional skills in SQL or Python.

Will AI replace data scientists in 2050?

As a temporary data science R, AI is expected to augment rather than replace data scientists by automating routine tasks and enhancing data analysis capabilities. Data scientists will continue to be essential for interpreting complex data, developing models, and applying domain expertise, especially as tools like machine learning frameworks evolve. Adaptability and skills in programming, statistics, and AI tools will remain valuable in the future job market.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Continuous learning and adapting to industry trends are key regardless of age.
What are the most commonly searched types of Data Science R jobs in Alabama? The most popular types of Data Science R jobs in Alabama are:
Applied Meteorology Data Scientist

Applied Meteorology Data Scientist

Southern Company

Birmingham, AL • On-site

Full-time

Medical, Retirement

Posted 5 days ago


Southern Company rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description


WORK LOCATION
This position will be located at the Energy Center in Birmingham, AL. Candidates living outside of the Birmingham area may be considered with the expectation that they are able to successfully telework and are willing to travel to Birmingham four days per week.
JOB SUMMARY
Structuring and Analysis supports Commercial Operations and operating companies by providing solutions to complex, and often weather-driven business challenges through advanced analytics and data science.
This position is responsible for collecting, organizing, mining, and analyzing complex datasets-including meteorological, atmospheric, and environmental data-to generate actionable insights that enable informed decision-making and operational effectiveness. Specifically, this role leads and coordinates meteorology-focused data science initiatives supporting Commercial Operations through weather- and climate-informed risk analysis, predictive modeling, and decision-support tool development.
The position requires a strong working knowledge of applied meteorology, atmospheric science, mathematical and statistical methods, and modern data science practices. Success in this role also depends on the ability to manage multiple analytic initiatives, translate technical results into clear business insights, and partner effectively with stakeholders across Commercial Operations, Planning, and operating companies.
JOB RESPONSIBILITIES
  • Lead and coordinate the development of meteorological and weather-driven analytics initiatives, including internal tools, modeling approaches, and decision-support methodologies.
  • Partner with data scientists and meteorologists to design experiments and analyses that test assumptions related to weather, climate variability, and operational risk.
  • Oversee development and application of predictive and prescriptive models incorporating numerical weather prediction outputs, historical weather data, and climate signals to support commercial and operational decisions.
  • Translate complex meteorological and analytic outputs into clear, actionable insights for non-technical stakeholders.
  • Collaborate with end users to identify business needs, gaps, and opportunities for improved weather- and climate-informed analytics solutions.
  • Provide leadership by coordinating cross-functional teams, mentoring analysts, and promoting best practices in data science and applied meteorology.
  • Stay current on emerging trends in meteorological modeling, climate risk analytics, machine learning, and data science technologies relevant to the electric utility industry.
  • Ensure analytics solutions are well-documented, maintainable, and aligned with business objectives and delivery timelines.

All major job responsibilities require strong quantitative, statistical, and analytical skills, combined with effective communication and project leadership capabilities.
JOB QUALIFICATIONS
Education:
  • A degree in atmospheric science, meteorology, or a closely related meteorological analytical field is required.
  • Additional degrees in quantitative finance, economics, mathematics, statistics, computer science, engineering, or similar analytical disciplines are a plus.
  • An advanced degree in any of these fields is preferred.

Experience / Skills:
  • Advanced statistical analysis skills, including multivariable analysis, optimization, and predictive modeling.
  • Strong working knowledge of applied meteorology and experience evaluating and using numerical weather prediction models (e.g., GFS, NAM, HRRR, ECMWF).
  • Strong programming and technical competency in large-scale data analysis using Python, R, and SQL; experience with cloud-based analytics platforms such as Databricks is preferred.
  • Experience designing, developing, testing, and documenting complex systems, including predictive models, machine learning algorithms, and decision-support tools.
  • Demonstrated ability to work with large datasets and databases; familiarity with big data and data management technologies is a plus.
  • Ability to solve ambiguous or open-ended problems by creating structure and delivering actionable insights.
  • Strong consulting and project leadership skills with the ability to influence and collaborate across functions.
  • Ability to build productive relationships and work in a fast-paced, competitive environment while handling multiple assignments and conflicting priorities
  • Ability to manage multiple priorities in a fast-paced environment with consistent, on-time delivery.
  • Continuous learner with an interest in emerging analytics, AI-assisted workflows, and evolving applied meteorology practices.
  • Experience in the electric utility industry, particularly weather-driven impacts to power generation or commercial optimization, is a plus.

TRAVEL REQUIREMENTS
This position requires very little travel.
About Us
About Southern Company
Southern Company (NYSE: SO) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com.
Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf. Additional and specific details about total compensation and benefits will also be provided during the hiring process.
Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.
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