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Internship Data Science Training Jobs in Washington

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... training, and location. It is not typical for an individual to be hired at or near the top of the ...

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who ... You will help deliver, maintain, and improve training that supports how GEOINT professionals solve ...

Integral

Cybersecurity Lead

Picatinny Arsenal, NJ

Collect data to support reporting and IA management activities across the investment life cycle ... Bachelor's Degree in Computer Science or similar Information Technology Field. * 7 years ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

US AI

Sr. Data Scientist

Rockville, MD · On-site

$150K - $200K/yr

Training & development WHO WE ARE US AI stands as a forward-thinking digital transformation ... Bachelor's degree or equivalent experience in a quantitative field, such as Data Science ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Training or fine-tuning LLMs * Experience with Machine Learning, including * * Feature selection ...

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Internship Data Science Training information

What is the difference between Internship Data Science Training vs Data Analyst?

AspectInternship Data Science TrainingData Analyst
Required CredentialsBasic knowledge, often pursuing or recent graduatesBachelor's in related field, sometimes certifications
Work EnvironmentTraining programs, entry-level projects, mentorshipFull-time, corporate or industry settings
Employer & Industry UsageEducational institutions, training providers, startupsBusinesses across sectors like finance, healthcare, marketing

Internship Data Science Training provides foundational skills and practical experience for beginners, often as a stepping stone into the industry. Data Analysts are professionals who analyze data regularly, applying their skills to support business decisions. While internships focus on learning, data analyst roles involve ongoing responsibilities in data interpretation and reporting.

Internship Data Science Training jobs near you

Marketing Data Science Manager

Blend360

Columbia, MD • On-site

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice leaders, engineers, and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions.
Key Responsibilities
Data Science & Analytics
  • Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs.
  • Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.
  • Leverage Machine Learning and Data Analysis to optimize marketing campaigns
  • Conduct A/B tests to improve campaign performance measure campaign effectiveness, and increase engagement and conversion rates.

AI & Generative AI Collaboration
In addition to traditional data science responsibilities, you will collaborate with AI and engineering teams to:
  • Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval-augmented generation (RAG), agentic workflows, and generative AI agents.
  • Optimize prompt design, workflows, and pipelines for performance, accuracy, and cost-efficiency.
  • Build multi-step, stateful agentic systems that utilize external APIs/tools and support robust reasoning.
  • Deploy GenAI models and pipelines in production (API, batch, or streaming) with a focus on scalability and reliability.
  • Develop evaluation frameworks to monitor grounding, factuality, latency, and cost.
  • Implement safety and reliability measures such as prompt-injection protection, content moderation, loop prevention, and tool-call limits.
  • Work closely with Product, Engineering, and ML Ops to deliver robust, high-quality AI capabilities end-to-end.
  • Develop and manage detailed project plans including milestones, risks, owners, and contingency plans.
  • Create and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies within client architectures.
  • Collect, clean, and integrate large datasets from internal and external sources to support functional business requirements.
  • Build analytics tools that deliver insights across domains such as customer acquisition, operations, and performance metrics.
  • Perform exploratory data analysis, data mining, and statistical modeling to uncover insights and inform strategic decisions.
  • Train, validate, and tune predictive models using modern machine learning techniques and tools.
  • Document model results in a clear, client-ready format and support model deployment within client environments.

Qualifications
Required Skills & Experience
  • 5+ years of hands-on experience in Data Science, including model building and ML Ops
  • Experience in email marketing and direct marketing
  • Experience managing people
  • Proficiency in Python, SQL, and tools like Pandas, Scikit-learn, NLTK/spaCy, and Spark
  • Familiarity with digital marketing ecosystem (e.g., clickstream analytics) and recommendation systems
  • Experience deploying models via APIs or integrating them into batch processing pipelines
  • Working knowledge of cloud data platforms (e.g., AWS S3, Redshift, GCP, Azure)
  • Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices
  • Strong communication and collaboration skills, including experience engaging directly with clients

Preferred Qualifications
  • Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker
  • Experience working in Agile environments with cross-functional teams

Additional Information
The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

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