1

Data Scientist Electrical Engineer Jobs in Alabama

Win as a Team Job Summary Moultrie is looking for a Data Scientist to join the growing Data and ... You will own the statistical modeling and feature engineering that exists in the Data * Data Layer ...

Win as a Team Job Summary Moultrie is looking for a Data Scientist to join the growing Data and ... You will own the statistical modeling and feature engineering that exists in the Data * Data Layer ...

Electrical Engineer 3 or Sr

Birmingham, AL · On-site

$100K - $131K/yr

Electrical Engineer 3 or Sr. Location: Birmingham, AL (Hybrid) Contract: 60 Months Skills and ... data science desired · Is this position supporting a government-related project? Yes · Does this ...

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Data Science & AI Job Summary We are seeking an experienced Senior Data Scientist to join our ... Collaborate with product managers, business analysts, and engineering teams. * Validate model ...

Interclypse is seeking a rising Data Scientist to join our winning team. The Interclypse difference ... Bachelor's degree in Engineering, Computer Science, or another related analytical, scientific, or ...

Description: Interclypse is seeking a rising Data Scientist to join our winning team. The ... Bachelor's degree in Engineering, Computer Science, or another related analytical, scientific, or ...

Description Interclypse is seeking a rising Data Scientist to join our winning team. The ... Bachelor's degree in Engineering, Computer Science, or another related analytical, scientific, or ...

Description Interclypse is seeking a rising Data Scientist to join our winning team. The ... Bachelor's degree in Engineering, Computer Science, or another related analytical, scientific, or ...

Senior Data Scientist/Data Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the worlds toughest challenges with a servants heart.

Collaborate with data engineers to improve data colleciton, quality, and access. * Prioritize tasks ... Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ...

Collaborate with data engineers to improve data colleciton, quality, and access. * Prioritize tasks ... Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ...

Collaborate with data engineers to improve data colleciton, quality, and access. * Prioritize tasks ... Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ...

Electrical Engineer

Huntsville, AL · On-site

$90 - $120/hr

Electrical Engineer** to develop an Automated Test System. This individual will be responsible for ... switching, data acquisition, instrumentation, custom interface circuitry, cable assemblies ...

New

Showing results 21-40

Data Scientist Electrical Engineer information

What does a data scientist electrical engineer do?

A Data Scientist Electrical Engineer combines expertise in electrical engineering with advanced data analysis and machine learning skills. They analyze large sets of electrical data from systems such as power grids, electronic devices, or sensors to identify patterns, optimize performance, and predict failures. These professionals often work on smart grid technology, IoT applications, or improving the efficiency and reliability of electrical systems through data-driven insights. Their role bridges traditional engineering practices with modern data science techniques.

How does a data scientist electrical engineer typically collaborate with cross-functional teams to drive successful projects?

Data Scientist Electrical Engineers often work closely with hardware engineers, software developers, and data analytics teams to develop and optimize intelligent systems. Their role involves translating raw sensor or signal data into actionable insights through advanced analytics and machine learning models. Effective collaboration requires clear communication of complex technical findings and aligning analytical approaches with engineering constraints and project goals. This teamwork is essential for ensuring that data-driven solutions are feasible, scalable, and meet both technical and business requirements.

What are the key skills and qualifications needed to thrive as a data scientist electrical engineer, and why are they important?

To excel as a Data Scientist Electrical Engineer, you need a solid foundation in electrical engineering principles, statistics, and data analysis, usually supported by a degree in electrical engineering, computer science, or a related field. Proficiency in programming languages like Python or MATLAB, experience with machine learning frameworks, and familiarity with tools such as MATLAB, TensorFlow, and data visualization platforms are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These skills ensure that professionals can analyze complex engineering data, develop innovative solutions, and communicate insights effectively to drive technical advancements.

What is the difference between Data Scientist Electrical Engineer vs Electrical Engineer?

AspectData Scientist Electrical EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Data Science, or related fields; certifications like IEEE or data analytics certificationsBachelor's or Master's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentTech companies, R&D labs, industries integrating data analysis with electrical systemsPower plants, manufacturing, construction, and infrastructure projects
Industry UsageData-driven electrical system optimization, predictive maintenance, IoT applicationsDesign, develop, and maintain electrical systems and equipment

Data Scientist Electrical Engineers combine electrical engineering expertise with data analysis skills to optimize electrical systems and develop innovative solutions. In contrast, Electrical Engineers focus on designing and maintaining electrical infrastructure. Both roles require strong technical credentials but differ in their focus on data analytics versus traditional electrical design.

Can an electrical engineer work as a data scientist?

An electrical engineer can work as a data scientist if they acquire relevant skills such as programming in Python or R, understanding of machine learning algorithms, and data analysis techniques. Many data scientists have backgrounds in engineering, mathematics, or computer science, and transitioning often involves additional training or certification in data analytics and statistics.

What are popular job titles related to Data Scientist Electrical Engineer jobs in Alabama?

For Data Scientist Electrical Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Data Scientist Electrical Engineer jobs in Alabama look for?

The top searched job categories for Data Scientist Electrical Engineer jobs in Alabama are:

What cities in Alabama are hiring for Data Scientist Electrical Engineer jobs?

Cities in Alabama with the most Data Scientist Electrical Engineer job openings:

Full-time

Re-posted 10 hours ago


Job description

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.

We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven – hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.

We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; 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 across Moultrie. This role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems. You will own the statistical modeling and feature engineering that exists in the Data  

  • Data Layer & Feature Store: Snowflake 

  • Model Deployment: Snowflake ML Functions, Snowpark 

  • Development: Python, SQL 

  • Feature store: Snowflake 

  • Experiment Tracking: MLflow 

Typical work includes building and maintaining feature stores Snowflake/dbt, training and validating predictive models against curated datasets, and delivering model outputs as attributes made available in datasets ready for downstream tools.  

The ideal candidate has hands-on experience with applied predictive modeling in a business context (churn prediction, customer health scores, propensity scoring) and can contribute to the data work required to support it. This role will work closely with the other members of the Data and Analytics team as well as business stakeholders to align work with highest business impact.

Job Responsibilities

Predictive and Prescriptive Modeling 

  • Design, build, and maintain predictive models that address defined business questions (customer churn, subscription health, purchase propensity) using data from the foundational layer in Snowflake.   

  • Deliver model outputs as attributes that can integrate cleanly into downstream BI products (Tableau, Streamlit) and activation platforms (BlueConic, Braze, TripleWhale). 

  • Work with business stakeholders to translate ambiguous questions into scoped modeling problems with defined success metrics.  

  • Communicate model outputs and their business implications clearly to non-technical audiences.  

  • Track, document, and monitor experiments and deployed models to ensure outputs are reliable, understandable, and reproduceable.  

Feature Store and Data Engineering  

  • Contribute to the build and maintenance of features in the feature store: defining features, documenting refresh cadence, and ensuring feature pipelines are reliable and tested.  

  • Build and maintain training datasets with clear documentation of assumptions, evaluation windows, and limitations.  

  • Work with data engineers to ensure data models are structured to support feature engineering and model training.  

  • Ability to apply data engineering fundamentals (SQL modelling, versional control, documentation) to contribute to the feature store and build statistical models that integrate into the existing foundational tech stack. 

Job Requirements

Skills and Qualifications 

  • 4+ years of hands-on experience in data science or a role with significant applied modelling.  

  • Demonstrated experience building and deploying predictive models in a business context.  

  • Strong Python proficiency: Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models.  

  • Experience with classification and regression techniques and the ability to validate model performance using appropriate metrics (precision, recall, AUC, etc.). 

  • SQL proficiency: Able to write clean, maintainable code for supporting models in Snowflake with support from data engineers.  

  • Experience with Git and standard software development practices: version control, code reviews, branching, and CI/CD basics.  

  • Ability to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver. 

  • Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders.  

  • Collaborative working style: comfortable operating at the boundary between data engineering, data science, and business teams.  

Preferred Qualifications 

  • Experience in retail, CPG, or consumer hardware.  

  • Hands-on experience with a feature store platform.  

  • Experience with MLflow or a comparable experiment tracking tool.  

  • Familiarity with Snowpark or Snowflake ML Functions.  

  • Experience delivery model outputs that can be used in BI tools and other downstream platforms.  

Essential Job Function

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.