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Data Scientist Deep Learning Jobs (NOW HIRING)

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

In this role, you will be responsible for designing, developing, and implementing innovative Deep Learning models, driving innovation, and providing technical leadership to a team of data scientists.

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial ... Training in deep learning approaches and natural language processing * Advanced proficiency with ...

Stellar IT Solutions

Data Scientist

Saint Louis, MO · On-site

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... Less focus on deep learning, GenAI, etc. * More focus on data foundations + analytics reliability

Stellar IT Solutions LLC

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... Less focus on deep learning, GenAI, etc. * More focus on data foundations + analytics reliability

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Data Scientist Deep Learning information

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How much do data scientist deep learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data scientist deep learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist Deep Learning, and why are they important?

To excel as a Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience in handling large datasets and cloud platforms, is essential, and certifications in machine learning can be advantageous. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data results and collaborating with cross-functional teams. These skills and qualities are vital for building advanced AI models, deriving actionable insights, and driving innovation in data-driven organizations.

What is the difference between Data Scientist Deep Learning vs Data Scientist Machine Learning?

AspectData Scientist Deep LearningData Scientist Machine Learning
Required CredentialsBachelor's/Master's in CS, Data Science, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch, AI-focused projects, neural network developmentData analysis, predictive modeling, algorithm development
Industry UsageAI, computer vision, NLP, speech recognitionFinance, marketing, healthcare, general analytics
Common Search/ComparisonYesYes

Data Scientist Deep Learning specializes in neural networks and AI-driven models, often working on complex tasks like image recognition and NLP. Data Scientist Machine Learning covers a broader range of algorithms and applications, including predictive analytics and traditional machine learning models. Both roles require strong programming skills and statistical knowledge, but Deep Learning roles focus more on neural network frameworks and AI-specific tools.

What are Data Scientist Deep Learning roles?

Data Scientist Deep Learning roles focus on designing, building, and implementing deep learning models to solve complex problems using large datasets. These professionals apply neural networks and advanced machine learning techniques to tasks such as image recognition, natural language processing, and predictive analytics. They work with programming languages like Python, use frameworks such as TensorFlow or PyTorch, and often collaborate with cross-functional teams to turn data insights into actionable solutions. Strong mathematical, statistical, and programming skills are essential for success in this role.

How do Data Scientist Deep Learning professionals typically collaborate with other teams in a tech organization?

Data Scientist Deep Learning professionals frequently work cross-functionally, partnering with data engineers to prepare and optimize data pipelines, collaborating with machine learning engineers to deploy and scale models, and communicating findings to product managers and stakeholders in accessible terms. This collaborative environment ensures that deep learning solutions are both technically robust and aligned with business goals. Regular meetings and agile workflows help facilitate smooth communication and integration of deep learning models into production systems.
More about Data Scientist Deep Learning jobs
What are the most commonly searched types of Data Scientist Deep Learning jobs? The most popular types of Data Scientist Deep Learning jobs are:
What job categories do people searching Data Scientist Deep Learning jobs look for? The top searched job categories for Data Scientist Deep Learning jobs are:
Data Scientist Deep Learning jobs near you
Infographic showing various Data Scientist Deep Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Lead Data Scientist-Deep Learning Specialist

Lead Data Scientist-Deep Learning Specialist

Albertsons

Pleasanton, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Albertsons rating

5.8

Company rating: 5.8 out of 10

Based on 1,139 frontline employees who took The Breakroom Quiz

71st of 119 rated grocery stores

Job description


Why choose us?
Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand!
At Albertsons Companies, we are looking for someone who's not just seeking a job, but someone who wants to make an impact. In this role, you'll have the opportunity to lead, innovate, and contribute to the growth of a company that values great service and lasting customer relationships. This position offers the chance to work in a fast-paced, dynamic environment that's constantly evolving.
Bring your flavor
Building the future of food and well-being starts with you. Join our team and bring your best self to the table.
Main responsibilities:
  • Design end-to-end deep learning model development, from problem framing and target definition through architecture selection, training strategy, evaluation, and iteration within a Databricks Lakehouse environment
  • Architect and build end-to-end deep learning pipelines, from data ingestion and feature engineering to training, deployment, scaling, and monitoring
  • Build rigorous evaluation frameworks using offline metrics and explainability methods such as SHAP-based feature importance and prediction-level explanations.
  • Implement distributed training and large-scale data processing using Apache Spark
  • Build scalable batch and real-time inference pipelines integrated with Databricks workflows
  • Lead fine-tuning and adaptation of large models and foundation models using custom data, with checkpoints, experiments, and model artifacts tracked in MLflow and prepared for governed deployment
  • Optimize data pipelines and model performance for scalability, latency, and cost efficiency
  • Collaborate with cross-functional teams to productionize ML solutions on the Lakehouse

The position will be based in Pleasanton, CA.
We are looking for candidates who possess the following:
Required Qualifications
  • Proven experience leading deep learning model development for complex business problems, including problem formulation, experimentation, evaluation, and productionization.
  • Strong hands-on expertise in PyTorch or TensorFlow and modern neural architectures, with experience scaling training using multi-GPU or distributed approaches
  • Deep hands-on experience with Databricks, including Delta Lake, Spark, and MLflow, Unity Catalog, governance, and security
  • Strong experience with distributed computing and large-scale data processing (Apache Spark)
  • Proficiency in Python and ML/data ecosystems (NumPy, Pandas, Scikit-learn, PySpark)
  • Strong understanding of feature engineering and data pipeline design in a Lakehouse architecture
  • Expertise in distributed training and inference (multi-GPU, multi-node systems)
  • Experience designing high-throughput, low-latency inference systems
  • Experience building feature stores and reusable ML components within Databricks

Preferred Qualifications
  • Experience deploying large-scale deep learning models (e.g., LLMs, recommendation systems) on Databricks
  • Experience with cloud platforms (AWS, Azure, GCP) alongside Databricks
  • Experience with streaming pipelines (Structured Streaming, Kafka integration)
  • Experience with generative AI, LLM fine-tuning, or foundation models
  • Background in retail, e-commerce, or supply chain analytics

We also provide a variety of benefits including:
  • Competitive wages paid weekly
  • Access to up to 50% of your earned wages before payday, via our partnership with Stream
  • Associate discounts
  • Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!)
  • Time off (vacation, holidays, sick pay). For eligibility requirements please visit myACI Benefits
  • Leaders invested in your training, career growth and development
  • An inclusive work environment with talented colleagues who reflect the communities we serve

Our Values - Click below to view video: ACI Values
A copy of the full job description can be made available to you.
#LI-MF1
About Us
Albertsons Companies is at the forefront of the revolution in retail. Committed to innovation and fostering a culture of belonging, our team is united with a unique purpose: to bring people together around the joys of food and to inspire well-being. We want talented individuals to be part of this journey!
Locally great and nationally strong, Albertsons Companies (NYSE: ACI) is a leading food and drug retailer in the U.S. We operate over 2,200 stores, 1,732 pharmacies, 405 fuel centers, 22 distribution facilities, and 19 manufacturing plants across 34 states and the District of Columbia. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, ACME, Shaw's, Tom Thumb, United Supermarkets, United Express, Randalls, Albertson's Market, Pavilions, Star Markets, Market Street, Carrs, Haggen, Lucky, Amigos, Andronico's Community Markets, King's, Balducci's, and Albertson's Market Street.
Our vision is to be a retail leader admired for national strength with deep local roots, offering an easy, fun, friendly, and inspiring experience, no matter how customers choose to shop with us. We celebrate the rich diversity of the communities we serve, and strive to create a workplace where everyone has equal access to opportunities and resources, and can fully contribute to their and our company's success.
Bring your flavor
Building the future of food and well-being starts with you. Join our team and bring your best self to the table.
Disclaimer
The above statements are intended to describe the general nature of work performed by the employees assigned to this job and are not the official job description for the position. All employees must comply with Company, Division, and Store policies and applicable laws. The responsibilities, duties, and skills of personnel may vary within store and/or from store to store and the official job description will be provided during the application process.
Albertsons is an Equal Opportunity Employer
This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, the Company will consider for employment qualified applicants with arrest and conviction records.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 1-888-255-2269(option #4).
About the Team
Pay Transparency:
Starting rates will be no less than the local minimum wage and may vary based on criteria such as location, experience, and qualifications. Candidates with unique qualifications may be considered for compensation above this range. Benefits may include medical, dental, vision, disability and life insurance, sick pay, PTO/Vacation Pay or Flexible Time Off, paid holidays, bereavement pay, and retirement benefits (pension and/or 401k eligibility). [If applicable:] Associates in this position may be eligible for a quarterly bonus.

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