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Senior Data Scientist Machine Learning Jobs in Delaware

Lead Data Scientist II

Wilmington, DE ยท On-site

$120K - $140K/yr

Join a Data Science team working at the cutting edge within our industry and constantly advancing ... Build end-to-end machine learning pipelines including data extraction, feature engineering, model ...

Lead Data Scientist II

Wilmington, DE ยท On-site

$120K - $140K/yr

Join a Data Science team working at the cutting edge within our industry and constantly advancing ... Build end-to-end machine learning pipelines including data extraction, feature engineering, model ...

Position typically deals with senior/executive management * Works independently on activities ... Strong foundation in regression, classification, and machine learning models and anomaly detection ...

Showing results 41-60

Senior Data Scientist Machine Learning information

See Delaware salary details

$94.4K

$128.6K

$151.2K

How much do senior data scientist machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data scientist machine learning in Delaware is $128,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,292.00 and $142,285.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a senior data scientist in machine learning?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

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

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Delaware?

The most popular types of Data Scientist Machine Learning jobs in Delaware are:

What cities in Delaware are hiring for Senior Data Scientist Machine Learning jobs?

Cities in Delaware with the most Senior Data Scientist Machine Learning job openings:

John Snow Labs US-Based Healthcare Data Scientist

John Snow Labs

Lewes, DE โ€ข On-site

Contractor

Re-posted 26 days ago


Job description

Company Description
John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.
John Snow Labs is the developer of Spark NLP - the world's most widely used NLP library in the enterprise - and is the world's leading provider of state-of-the-art clinical NLP software, powering some of the world's largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master's degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.
Job Description
John Snow Labs is seeking a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready model inference pipelines, and conducting comprehensive exploratory data analysis and data enrichment.
Qualifications
Key Responsibilities:
  • Train, fine tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage.
  • Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating uncertain information from multiple medical data sources.
  • Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large language models, and time series forecasting pipelines tailored to address specific business needs.
  • Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness.
  • Engage directly with customers, requiring strong oral and written communication skills to convey complex technical concepts clearly.

Mandatory Skills:
  • Proven experience in consistently delivering real-world projects covering the key responsibilities. Knowledge that is limited to an academic setting, or to using existing APIs to building applications, is not sufficient for this role.
  • Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey.
  • Strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial.
  • A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
  • Experience with John Snow Labs' technology stack, such as Spark NLP or the medical language models, is a plus.

What We Offer:
  • A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes.
  • Long-term freelancing contracts with a commitment of at least 30 hours per week. We are seeking individuals, not agencies or teams.
  • The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.

To apply, please include the words 'John Snow Labs' in your cover letter and detail why you believe you are the best fit for this role. This is more than just a contract - it's a chance to make a real difference.
Additional Information
Our Commitment to You
At John Snow Labs, we believe that diversity is the catalyst of innovation. We're committed to empowering talented people from every background and perspective to thrive.
We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com
  • We are a fully virtual company, collaborating across 28 countries.
  • This is a contract opportunity, not a full-time employment role.
  • This role requires the availability of at least 30-40 hours per week.