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Intern Data Scientist Machine Learning Jobs in Maryland

Nordic

Key Responsibilities The Senior Data Scientist applies strong expertise in machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$157K - $215K/yr

Job Brief Data Science, Machine Learning Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing ...

InstantServe LLC

Lead Data Scientist

Suitland, MD · On-site

We are seeking a Subject Matter Expert (SME)-level Lead Data Scientist to leverage cutting-edge ... Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning ...

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Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Maryland? The most popular types of Data Scientist Machine Learning jobs in Maryland are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Maryland? For Intern Data Scientist Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Maryland look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Intern Data Scientist Machine Learning jobs? Cities in Maryland with the most Intern Data Scientist Machine Learning job openings:
Intern Data Scientist Machine Learning jobs near you

Senior Data Scientist

Nordic

On-site

Full-time

Re-posted 29 days ago

Job description

Make a difference. Be happy. Grow your career.

The Role

Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation. All Nordic staff embrace Nordic's maxims and mission to serve our customers who care so well for us.

Key Responsibilities

The Senior Data Scientist applies strong expertise in machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation advanced analytics engines and services to solve complex healthcare industry problems. The Senior Data scientist should also have awareness about Gen AI & Agentic AI concepts and have a point of view on how traditional data science workflows can evolve harnessing the power of Generative AI & Agentic AI. The data scientist collaborates with business partners (clinicians / supply chain / HR across healthcare organizations) to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team.
Essential Job Functions

  • Collaborates with business partners to develop novel ways to meet business objectives utilizing machine learning and AI techniques and tools.

  • Effectively communicates the data science / machine learning approach and how it will meet and address objectives to business partners.

  • Advocates and educates business partners on the machine learning process and reasoning for solving problems with data-driven decision making.

  • Leads analytic approaches to integrate machine learning output into applications and tools with data engineers, business leads, analysts, and developers.

  • Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products.

  • Engineers features by using business acumen (including healthcare industry knowledge) to find new ways to combine disparate internal and external data sources.

  • Identifies and develops scalable processes, frameworks, tools, methods and standards.

  • Collaborates and learns with a growing team of experienced data scientists.

  • Stays connected with external sources of ideas through conferences and community engagements.

Skills and Experience

  • Generally, requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.

  • Experience building end to end data science / machine learning solutions that have delivered tangible business value (required)

  • Strong communication and stakeholder management skills (required)

  • Masters, Data Science, Computer Science, Engineering, or Statistics (preferred)

  • Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred)

  • Experience working in Healthcare industry (preferred)

  • Understanding of EPIC data model (preferred)

Minimum Years of Experience

  • 8+ years' experience in a data science role (required)

  • 8+ years' experience in a data engineering, analyst, or architecture role (required)

Other Knowledge, Skills and Abilities Required

  • Machine learning concepts and principles

  • Good grasp of Generative AI and Agentic AI concepts

  • Strong communication skills

  • Python coding

  • SQL, Databricks

  • Understanding of machine learning operations

  • Attention to detail

  • Ability to work with technical and non-technical stakeholders

  • Requirements translation

  • Agile work process

  • Continuous learner

#LI-JD1

Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.

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