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Data Science Jobs in Sheffield, AL (NOW HIRING)

... medical science in the fight against cancer. Clearview Cancer Institute is a proud partner of ... led, data-driven, technology-powered, and patient-centric model. Through OneOncology, partner ...

... medical science in the fight against cancer. Clearview Cancer Institute is a proud partner of ... led, data-driven, technology-powered, and patient-centric model. Through OneOncology, partner ...

Track, record, and analyze flock data, including mortality rates, feed consumption, and growth ... Bachelor of Science Degree in Poultry Science or similar field preferred. Experience may be ...

Track, record, and analyze flock data, including mortality rates, feed consumption, and growth ... Bachelor of Science Degree in Poultry Science or similar field preferred. Experience may be ...

Showing results 41-60

Data Science information

See Sheffield, AL salary details

$33.6K

$109.8K

$175.9K

How much do data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science in Sheffield, AL is $109,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $121,700.00 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 cities near Sheffield, AL are hiring for Data Science jobs?

Cities near Sheffield, AL with the most Data Science job openings:

Infographic showing various Data Science job openings in Sheffield, AL as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $109,850 per year, or $52.8 per hour.

Talent Roster - Technical Design Consultant - Proposal Design

IFDC- International Fertilizer Development

Muscle Shoals, AL

Full-time

Re-posted 14 days ago


Job description

About IFDC 

IFDC is a public international organization active in 27 countries in Africa, Asia, and America. IFDC uniquely approaches the global issues of food security and poverty by bridging the gap between research and impact, combining science-based innovations, holistic market systems development, an enabling policy environment, and strategic partnerships to assist farmers and countries to identify and scale sustainable agricultural solutions, including improved nutrient use efficiency. These approaches are needed to boost soil health and crop productivity while reducing the environmental impact of fertilizer use. IFDC translates research into action by using locally driven, environmentally sound, and impact-oriented solutions. With our partners, we seek to close the yield gap, eradicate global hunger, safeguard the soil on which our lives depend, and generate economic resilience for farming households and the countries in which they live.    

Position Summary 

As part of IFDC’s open call for consultants, we are seeking experienced Technical Design Consultants to join a roster of experts who can support proposal development and technical design efforts across IFDC’s global portfolio. 

Responsibilities 

  • Provide high-level strategic and technical guidance during proposal design and development; 

  • Lead or contribute to the development of concept notes and proposals, ensuring technical accuracy, innovation, and alignment with IFDC’s strategic objectives; 

  • Participate in concept development meetings to guide strategic direction, activity planning, and staffing design under the direction of proposal leads or country directors; 

  • Ensure technical coherence and consistency across proposals, incorporating lessons learned, research findings, and insights from IFDC’s ongoing programs and partnerships; 

  • Support internal and partner-led technical reviews, revising and adapting proposal drafts to reflect feedback and strengthen overall quality; 

  • Provide input on evidence-based approaches, measurement strategies, and results frameworks; 

  • Contribute to knowledge sharing within IFDC by documenting best practices, tools, and methodologies related to proposal design. 

Requirements 

  • Advanced degree (Master’s or PhD preferred) in agriculture, international development, economics, environmental studies, or a related field; 

  • At least 15 years of professional experience in relevant technical areas, including work in developing or emerging economies, with at least 5 years of leadership experience; 

  • Demonstrated expertise in inclusive agriculture, climate-smart agriculture, food security, agribusiness development, or related sectors; 

  • Proven experience leading the technical design and formulation of complex, multi-country programs, preferably in Africa; 

  • Strong understanding of program design, strategic planning, and MEAL (Monitoring, Evaluation, Accountability, and Learning); 

  • Experience supporting organizational growth initiatives, including positioning for new funders or entering new geographies; 

  • Demonstrated success in business development, including technical reviews, proposal writing, and evidence-based design; 

  • Excellent analytical, organizational, and facilitation skills, with the ability to translate data and insights into actionable recommendations;