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Weekend Data Scientist Deep Learning Jobs in Pennsylvania

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical ...

Elsevier

Senior Data Scientist

Philadelphia, PA

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical ...

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

$85 - $115/hr

We are currently designing, building, and optimizing our core data science offerings and looking ... Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization

RELX

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical ...

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

We are currently designing, building, and optimizing our core data science offerings and looking ... Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical ...

Cmu

Senior Data Scientist

Pittsburgh, PA

Experience in predictive modeling, data science, and/or AI & machine learning * Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

Experience in predictive modeling, data science, and/or AI & machine learning * Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid ... Develop predictive models, scoring frameworks, and machine learning solutions that enhance business ...

Geisinger Health

AI Data Scientist Senior

Danville, PA · On-site +1

The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle ... Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ...

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Showing results 21-40

All JobsData Scientist Deep Learning JobsWeekend Data Scientist Deep Learning JobsWeekend Data Scientist Deep Learning Jobs in Pennsylvania

Weekend Data Scientist Deep Learning information

What is the difference between Weekend Data Scientist Deep Learning vs Weekend Data Analyst?

AspectWeekend Data Scientist Deep LearningWeekend Data Analyst
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fields; knowledge of deep learning frameworksUsually requires a degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentOften involves working on complex machine learning models, coding in Python or R, and experimenting with neural networksFocuses on data cleaning, reporting, and visualization, often using Excel, Tableau, or Power BI
Employer & Industry UsageUsed in tech companies, research institutions, and AI-focused startupsCommon in finance, marketing, healthcare, and retail sectors

Weekend Data Scientist Deep Learning roles focus on developing advanced AI models and require programming skills, while Weekend Data Analysts handle data interpretation and reporting. Both roles are valuable but differ in technical complexity and industry application.

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Cities in Pennsylvania with the most Weekend Data Scientist Deep Learning job openings:

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Data Scientist - Research and Development

Pittsburgh Associates

Pittsburgh, PA

Full-time

Re-posted 23 days ago

Job description

The Pirates Why

The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by:

  • purposefully developing a player and people-centered culture;
  • deeply connecting with our fans, partners, and colleagues;
  • passionately creating lifetime memories for generations of families and friends; and
  • meaningfully impacting our communities and the game of baseball.

At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.

Job Summary

As a Data Scientist on the Pirates Research & Development team, you will help transform a wealth of baseball data — from box scores and player tracking to video and biomechanics — into actionable insights that drive the Pirates to make better, faster acquisition, development, and deployment decisions. You will work closely with other data scientists, analysts, and software engineers across Baseball R&D as well as other stakeholders across Baseball Operations (scouts, coaches, player development, front office) to turn your statistical and machine learning models into actionable decision tools.

Responsibilities:

  1. Design, build, validate, and deploy statistical and/or machine-learning models to support all facets of baseball operations, including scouting, player acquisition, player development, and on-field decision making.
  2. Build tools, prototypes, and visualizations to translate complex data and model results into insights understandable by coaches, players, and decision-makers.
  3. Communicate results and insights clearly to both technical and non-technical audiences.
  4. Partner with data engineers to build scalable data pipelines and maintain data quality.
  5. Stay abreast of new data sources, analytical techniques, and research.
  6. Help the organization experiment, learn, and iterate.

Qualifications

We recognize that no candidate will meet every qualification listed below. If you are excited about this role and believe you can add value to our work, we encourage you to apply even if your experience does not align perfectly with every requirement.

Required:

  1. Degree (or equivalent experience) in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Economics, Machine Learning, Biomechanics, Engineering, Operations Research).
  2. Demonstrated experience applying complex statistical and/or machine learning tools to real-world problems.
  3. Demonstrated proficiency in a programming language such as Python or R for data analysis and modeling.
  4. Demonstrated ability to communicate complex quantitative concepts clearly, both written and verbally.
  5. Demonstrated experience collaborating with others on data science projects.
  6. Authorized to work lawfully in the United States.

Desired:

  1. Familiarity with advanced statistical techniques (e.g., fixed-effect / random-effect models, generalized additive models, Bayesian modeling, probabilistic programming).
  2. Experience with machine-learning / deep-learning frameworks (e.g., PyTorch, Tensorflow), especially applied to high-dimensional, spatiotemporal, or biomechanical data.
  3. Background in computer vision, biomechanics, sports-science, or modeling of dynamic physical systems.
  4. Prior experience in sports analytics context; baseball is a plus.
  5. Experience with database languages (e.g., SQL) and working with large / relational datasets.

Equal Opportunity Employer

The Pittsburgh Pirates are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

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