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Freelance Data Science Startup Jobs in Maryland (NOW HIRING)

Navius Technologies LLC

$141K - $159.80K/yr

... startup built by a team of high-performance professionals with decades of combined experience in ... Computer Science; and analysis of data syntax and semantics OR HS or GED plus ten (10) years of ...

BullFrogAI

Sales Executive

Gaithersburg, MD · On-site

$150K - $160K/yr

Partner closely with science, data science, and product teams to ensure solution fit and commercial ... A dynamic, collaborative startup environment * Competitive base compensation with performance-based ...

CyberMaxx

Senior Software Engineer, Python

Linthicum, MD · On-site

$120K - $140K/yr

Experience with data science / engineering is expected, and experience with ML and AI in TensorFlow ... As an innovative startup in the cybersecurity sector, we pride ourselves in developing in-house ...

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What are the key skills and qualifications needed to thrive as a Freelance Data Science Startup founder, and why are they important?

To thrive as a Freelance Data Science Startup founder, you need strong expertise in data analysis, machine learning, programming (Python/R), and a solid educational background in statistics or computer science. Familiarity with tools like Jupyter, TensorFlow, cloud platforms (AWS, GCP), and data visualization software, as well as relevant certifications, is highly beneficial. Exceptional communication, client management, and entrepreneurial skills help differentiate successful founders in this space. These skills are crucial for delivering high-quality solutions, winning clients, and sustaining a competitive edge in the evolving data science market.

What are some unique challenges freelance data scientists face when working with startups, and how can they effectively manage them?

Freelance data scientists working with startups often encounter challenges such as rapidly changing project scopes, limited historical data, and the need to wear multiple hats. Since startups typically operate in fast-paced environments, priorities can shift quickly, requiring adaptability and strong communication skills. To manage these challenges, it's important to set clear expectations upfront, maintain transparent communication with stakeholders, and design flexible data solutions that can evolve as the business grows. Building strong relationships with both technical and non-technical team members can also help ensure project alignment and successful outcomes.

What is a Freelance Data Science Startup?

A Freelance Data Science Startup is a small business or entrepreneurial venture where individuals or small teams offer data science services independently, rather than working as full-time employees for a single company. These startups provide solutions such as data analysis, machine learning, predictive modeling, and data visualization to various clients on a project basis. Freelance data science startups often work with businesses that need expertise for specific projects or lack in-house data science resources. They may operate remotely and handle multiple clients simultaneously, allowing for flexibility and diverse experience. This model is popular among data scientists seeking autonomy and a variety of challenging projects.

What is the difference between Freelance Data Science Startup vs Data Analyst?

AspectFreelance Data Science StartupData Analyst
CredentialsRelevant degrees, certifications in data science or analyticsDegree in statistics, data analysis, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteTypically in corporate or organizational settings, often full-time
Employer & IndustrySelf-employed or startup clients across various industriesEmployers in finance, marketing, healthcare, etc.
Search & Comparison IntentLooking for freelance opportunities or startup roles in data scienceSeeking data analysis roles within organizations

Freelance Data Science Startups focus on independent, project-based work involving advanced data modeling and machine learning, often serving multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles require analytical skills, freelance data science startups emphasize entrepreneurship and technical expertise, whereas data analysts focus on operational data insights within a company.

What are the most commonly searched types of Data Science Startup jobs in Maryland? The most popular types of Data Science Startup jobs in Maryland are:
What are popular job titles related to Freelance Data Science Startup jobs in Maryland? For Freelance Data Science Startup jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Freelance Data Science Startup jobs in Maryland look for? The top searched job categories for Freelance Data Science Startup jobs in Maryland are:
What cities in Maryland are hiring for Freelance Data Science Startup jobs? Cities in Maryland with the most Freelance Data Science Startup job openings:
Freelance Data Science Startup jobs near you
Data Scientist (Level 4) - TS/SCI with Poly

Data Scientist (Level 4) - TS/SCI with Poly

Navius Technologies LLC

$141K - $159.80K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

Data Scientist (Level 4)
Position Title: Data Scientist (Level 4)
Location: Columbia, MD
Clearance Required: Active TS/SCI with Polygraph
Position Type: Full-Time, Fully Funded
Salary: $141,000 - $159,800
About Navius Technologies
Navius Technologies is a mission-driven technology startup built by a team of high-performance professionals with decades of combined experience in the Intelligence Community, cybersecurity, and commercial sectors. We bring a rare balance of humility and leadership-knowing when to listen and when to lead. At our core, we are results-driven innovators who thrive in collaborative environments. If you're looking to contribute to national security while working on cutting-edge solutions, we want to hear from you.

Position Overview
Navius Technologies is seeking highly skilled Data Scientist to support mission-critical programs in Annapolis Junction, MD. This role focuses on uncovering both semantic and syntactic information within data, developing measures, and transforming manual processes into automated solutions.
Overview
  • Develop or apply best practices to discover the assess semantic and syntactic information contained in data objects supporting all aspects of the mission.
  • Develop measures of syntactic and semantic interoperability that support governing bodies making architectural decisions
  • Prototype and consider several algorithms and decide upon final model based on established outcomes.
  • Generate reports that summarize analysis of data representations and data to provide data driven insights to customers
  • Partner with subject matter experts to translate manual data analysis into automated analytics.

Qualifications
A bachelor's degree from an accredited college or university in Computer Science, Mathematics, or related discipline plus nine (9) years of experience in Mathematics/Statistics; Computer Science; and analysis of data syntax and semantics
OR
HS or GED plus ten (10) years of experience in ...
OR
A Master's degree in ... plus six (6) ....
OR
A PhD in .... plus three (3) years of experience...
An active TS/SCI clearance with polygraph is also required.

Why Join Navius Technologies?
At Navius, we're committed to delivering mission-critical solutions that matter. Our team is driven by innovation, collaboration, and a deep respect for national security. You'll work in a supportive environment where your contributions make a direct impact.
Employee Benefits at Navius
At Navius, we offer a comprehensive benefits package designed to support your health, financial security, time off, and professional growth:
  • Health & Wellness: Customizable medical, dental, and vision coverage; Health Savings Account (HSA).
  • Financial Security: Competitive salaries, 401(k) with up to 12% employer contribution, life and AD&D insurance, short- and long-term disability coverage.
  • Time Off: Flexible time off and sick/safe leave to support work-life balance.
  • Additional Perks: Annual technology reimbursement, training and development allowance, and a profit-sharing bonus program.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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