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Data Science Jobs in Sheffield, AL (NOW HIRING)

Pilgrim's

Broiler Service Technician

Russellville, AL · On-site

$60K/yr

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 ...

jbs

Broiler Service Technician

Russellville, AL · On-site

$60K/yr

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 ...

Actalent

Controls Engineer

Florence, AL

$40.86 - $57.69/hr

... data analysis to evaluate performance and identify areas of improvement • Developing ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

jbs

Broiler Service Technician

Russellville, AL · On-site

$60K/yr

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 ...

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All JobsData Science JobsData Science Jobs in Sheffield, AL

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 Jun 11, 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.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What cities near Sheffield, AL are hiring for Data Science jobs? Cities near Sheffield, AL with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Sheffield, AL as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,850 per year, or $52.8 per hour.

Nursing Director (RN) - Emergency Services (ER)

Texas State Library and Archives Commision

Florence, AL • On-site

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Title: Nursing Director (RN) - Emergency Services (ER)
Location: Florence, AL (100% On-site) Employment Type: Full-time / Exempt (Permanent) Salary Range: $70,000 - $130,000 / Year + Performance Bonus
Job Description
A premier, diversified healthcare delivery network is seeking a dynamic and strategic Nursing Director (RN) to lead all aspects of Emergency Services at a major 263-bed acute care referral hospital.
The Emergency Department is one of the largest and busiest regional trauma units in the network, managing approximately 46,000 patients annually. Backed by a high-performing collaborative team of 70 RNs and auxiliary nursing support staff, the department features a 36-bed main ER alongside a specialized 8-bed senior-focused Emergency Services unit. This fast-paced, team-oriented leadership environment provides an exceptional opportunity to drive clinical excellence, manage large-scale operations, and elevate the patient care continuum.
Key Responsibilities
  • Strategic Leadership: Serve as the accountable operational leader for all Emergency Services, designing and implementing innovative programs to enhance clinical performance.
  • Team & Resource Management: Oversee and manage a comprehensive team of 70 RNs and support personnel; handle clinical scheduling, performance metrics, and staff engagement.
  • Financial & Resource Allocation: Directly manage departmental budgeting, financial operations, compliance reporting, and resource utilization across the ER service line.
  • Quality & Compliance: Partner with quality leadership to advance the facility toward becoming a highly reliable organization in strict compliance with healthcare accreditation standards.
  • Care Coordination: Collaborate actively with physicians, advanced practice providers, facility executives, and other service line leaders to optimize service delivery and patient satisfaction.
  • Staff Development: Oversee continuous clinical education, competency assessments, and adherence to patient safety protocols.
Minimum Requirements
  • Education: Bachelor of Science in Nursing (BSN) is mandatory.
  • Licensure: Active and current Alabama RN License (or immediately eligible for licensure).
  • Leadership Experience: Minimum of 5 years of progressive clinical leadership experience specifically within Emergency Services (ER/ED).
  • Financial Acumen: Proven experience managing budgets, financial planning, and operational resource allocation in an acute care setting.
  • Certifications: Active BLS and ACLS certifications are required (or must be obtained within a defined corporate timeframe).
  • Core Competencies: Strong analytical expertise to interpret operational data, execute performance-improvement initiatives, and build strong multidisciplinary team relationships.
Why Join Us
  • Comprehensive Health Protection: Multiple tiers of competitive medical, dental, and vision coverage.
  • Financial Growth & Protection: 401(k) retirement package with company matching, life insurance, short/long-term disability, performance-based bonus structures, and annual merit increases.
  • Career Advancement: Higher education tuition assistance, certification reimbursement support, and ongoing corporate leadership development.
  • Work-Life Wellness: Paid Family Leave, generous Paid Time Off (PTO), and dedicated mental, physical, and financial well-being programs.

Apply