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Data Science Boot Camp Jobs (NOW HIRING)

Data Scientist

$103K - $120K/yr

Master's degree or data science boot camp a plus. * Two+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred.

Data Scientist

Annapolis, MD · On-site

$103K - $120K/yr

Master's degree or data science boot camp a plus. * Two+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred.

Senior Data Scientist

Annapolis, MD · On-site

$118K - $140K/yr

Master's degree or data science boot camp a plus. * Five+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred.

Senior Data Scientist

$118K - $140K/yr

Master's degree or data science boot camp a plus. * Five+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred.

Be Seen First

As a Burn Boot Camp Trainer, you will be responsible for delivering dynamic and challenging ... Certified Personal Training certification (NASM, ISSA, ACE, ACSM, NSCA) OR 4-year Exercise Science ...

Be Seen First

As a Burn Boot Camp Trainer, you will be responsible for delivering dynamic and challenging ... Certified Personal Training certification (NASM, ISSA, ACE, ACSM, NSCA) OR 4-year Exercise Science ...

Burn Boot Camp Rochester (South and North locations) is looking for top trainers to work with our ... in an exercise science related field. -Group Fitness knowledge and experience. Non-NCCA ...

Group Fitness Instructor

Rochester, MN · On-site

$20 - $25/hr

Burn Boot Camp Rochester (South and North locations) is looking for top trainers to work with our ... science related field. -Group Fitness knowledge and experience. Non-NCCA Certified Group Fitness ...

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Data Science Boot Camp information

What is a Data Science Boot Camp?

A Data Science Boot Camp is an intensive, short-term training program designed to teach participants the foundational skills and practical tools needed to start a career in data science. These programs typically cover topics such as programming in Python or R, data analysis, machine learning, statistics, and data visualization. Unlike traditional degree programs, boot camps focus on hands-on projects and real-world applications to help students build a portfolio. Many boot camps also offer career support, including resume reviews and interview preparation. They are ideal for individuals looking to transition into data science or enhance their skill set quickly.

What is the difference between Data Science Boot Camp vs Data Analyst?

AspectData Science Boot CampData Analyst
CredentialsIntensive training, certificates, no formal degree requiredOften requires a bachelor's degree in related fields
Work EnvironmentProject-based, fast-paced learning environmentOffice setting, routine data reporting
Industry UsagePrepares for entry-level data roles, tech startups, consultingBusiness, finance, healthcare, government sectors

The Data Science Boot Camp provides intensive, short-term training focused on technical skills like coding, machine learning, and data manipulation, ideal for those seeking quick entry into data roles. Data Analysts typically have formal degrees and focus on interpreting data, creating reports, and supporting business decisions. Both roles are in demand across industries, but the Boot Camp is more geared toward rapid skill acquisition for tech-driven roles, while Data Analysts often have a broader educational background and focus on data interpretation.

What are the key skills and qualifications needed to thrive in a Data Science Boot Camp, and why are they important?

To thrive in a Data Science Boot Camp, you need a solid understanding of statistics, programming (typically Python or R), and basic data analysis concepts, often supported by a relevant degree or foundational coursework. Familiarity with tools like Jupyter Notebook, SQL, and libraries such as pandas, scikit-learn, and TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help participants collaborate and interpret data-driven insights. These skills and qualities are crucial for successfully mastering complex topics and transitioning to real-world data science roles.

What are some common challenges students face during a Data Science Boot Camp, and how can they overcome them?

Students in a Data Science Boot Camp often encounter challenges such as managing a fast-paced learning schedule, grasping complex concepts like machine learning algorithms, and effectively collaborating on group projects. To overcome these, it's important to stay organized, regularly review material, and actively participate in discussions and coding exercises. Building a support network with peers and seeking guidance from instructors can also help in navigating difficult topics and maintaining motivation throughout the program.
What cities are hiring for Data Science Boot Camp jobs? Cities with the most Data Science Boot Camp job openings:
What states have the most Data Science Boot Camp jobs? States with the most job openings for Data Science Boot Camp jobs include:
What job categories do people searching Data Science Boot Camp jobs look for? The top searched job categories for Data Science Boot Camp jobs are:
Data Scientist

$103K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago


Job description

Job Type
Full-time
Description
At Eastport Analytics, our data subject matter experts, technologists, and domain specialists work directly with financial investigators, auditors, and analysts to modernize data strategies and improve law and tax enforcement. We measure success by our client's mission accomplishments, including higher compliance and improved asset recovery.
As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to drive innovation and provide actionable insights through high-fidelity data manipulation and complex analysis.
Specific Responsibilities Include:
  • Infrastructure and Data Lifecycle : Develop and implement databases and collection systems to acquire data from primary and secondary sources while documenting SQL models for efficient data management.
  • Advanced Analytics : Perform comprehensive data manipulation, wrangling, and exploratory data analysis (EDA) to identify and interpret complex trends within large-scale datasets.
  • Strategic Decision Support : Utilize statistical software and modeling techniques to provide synthesized, actionable insights that inform senior leadership and client stakeholder decision-making.
  • Storytelling and Communication : Convey complex technical findings to non-technical domain users through advanced data visualization, briefings, and executive-level slide decks.
  • Cross-Functional Collaboration : Partner with the multi-disciplinary teams to extract and translate insights from both structured and unstructured data sources.
  • Project Execution : Manage multiple high-priority projects simultaneously under strict deadlines within a collaborative environment.

Requirements
  • Bachelor's degree in a quantitative field (e.g., Data Science, Applied Mathematics, Statistics); Master's degree or data science boot camp a plus.
  • Two+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred.
  • Advanced proficiency in Python (Pandas, NumPy, Matplotlib) and SQL for architecting and modifying complex code within Relational Database Management Systems (RDBMS).
  • Experience leveraging data warehousing solutions to query and extract insights from high-volume, large-scale datasets.
  • Understanding of descriptive/inferential statistics and regression modeling, with the ability to leverage generative AI, such as LLMs, and agent-based coding to automate workflows.
  • Proficiency in diverse data science technologies (e.g., PyTorch, TensorFlow, Scikit-learn, NLP, R/SAS, Plotly, NoSQL) and data visualization tools such as Power BI and Excel.
  • Experience with Palantir products a plus.
  • Must be able to pass a background investigation to obtain and maintain a Public Trust determination; U.S. Citizenship or Permanent Resident status required.
  • Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM EST) and attend quarterly in-person meetings in the Washington, D.C. area.

Eastport Analytics - Delivering Insight for Over 25 Years
Eastport Analytics partners with Federal agencies to strengthen and evolve mission-critical analytic systems that drive compliance, enforcement, and investigative outcomes. Our specialized analytic expertise, combined with a mission-first approach, ensures agencies extract maximum value from the tools, data, platforms, and processes they rely on today while building the capacity to meet tomorrow's challenges. Working side by side with Federal teams, we deliver practical, sustainable solutions that enhance analytic effectiveness, support core missions, and enable agencies to act with clarity, efficiency, and confidence.
Compensation & Benefits
The estimated base salary for this position is $103,000 to $120,000 (annualized USD). This role is eligible for bonus pay and a competitive benefits package. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained.
Eastport Analytics offers a full suite of benefits to help employees thrive professionally and personally including a balanced work life culture, unlimited PTO and radical flex time, employer funded health reimbursement account (HRA) to cover deductibles for health insurance, employer funded 401K, professional development, an inclusive professional work environment, fun quarterly events, and more.
Equal Opportunity Employer
Eastport Analytics, Inc. is proud to be an equal opportunity employer. We welcome and support all qualified applicants regardless of race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, hair texture or protected hairstyle, veteran status, or genetic information. We are also committed to providing reasonable accommodations during the job application and interview process. To request accommodations, contact: hr@eastportanalytics.com.
Fraud Prevention Notice
IMPORTANT- Eastport Analytics only communicates with candidates using @mail.paylocity.com or @eastportanalytics.com email domains.