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Freelance Data Science Startup Jobs in Indiana (NOW HIRING)

Cheez

Product Manager @ Social app startup

Hammond, IN · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Product Manager @ Social app startup

Gary, IN · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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Freelance Data Science Startup information

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 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 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 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 the most commonly searched types of Data Science Startup jobs in Indiana? The most popular types of Data Science Startup jobs in Indiana are:
What are popular job titles related to Freelance Data Science Startup jobs in Indiana? For Freelance Data Science Startup jobs in Indiana, the most frequently searched job titles are:
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Freelance Data Science Startup jobs near you
Senior Software Engineer for Medical Device Startup

Senior Software Engineer for Medical Device Startup

Levisonics, Inc.

Fishers, IN • On-site

$115K - $152K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 22 days ago

Job description

About Us:
We are a dynamic and innovative medical device startup developing a point-of-care portable blood coagulation testing device. Our full-time team currently comprises a CEO/Biomedical Engineer, and an Electrical Engineer.
Job Summary:
We are seeking a talented and experienced Senior Software Engineer to join our team and lead the development and optimization of software workflows for our innovative acoustic tweezing technology-based medical devices. The ideal candidate will have a Master's degree in Computer Science, Software Engineering, or a related field, with a minimum of 5 years of experience. This role requires strong coding skills in Python and C/C++, proficiency in developing intuitive and visually engaging graphical user interfaces, and expertise in SQL for effective data management and database design. Experience with version control systems, particularly Git, is essential, along with the ability to understand and generate code from workflow diagrams. As the first and only software engineer on the team, you will play a pivotal role in shaping the software development efforts for our groundbreaking technology. This role is critical to the success of our product and involves working on multiple federal grants and projects.
Startup Environment:
We operate in a fast-paced startup environment where innovation, adaptability, and a proactive mindset are key to success. We are looking for individuals who are passionate about working in a startup setting and thrive in dynamic and challenging situations. We value individuals who are not just seeking a job but are driven by a genuine passion for creating impactful solutions and driving change in the medical device industry. Our team members are expected to work well under pressure, juggle multiple projects, and be flexible in their roles as the needs of the company evolve. If you are excited about the opportunity to make a meaningful impact and are ready to roll up your sleeves and tackle challenges head-on, we encourage you to apply.
Key Responsibilities:
  1. Optimize and Enhance Existing Software:
  • Improve the efficiency of our existing software written in Python.
  • Increase processing speed for short-term operation on laptops.
  • Convert and optimize the software for embedded computing devices inside the medical device long-term.
  1. Software Packaging and Security:
  • Secure the code to prevent reverse engineering.
  • Package the software into executable files for easy installation and deployment.
  1. Connectivity and Data Management:
  • Ensure the software can connect to the internet.
  • Implement connectivity to an online database for long-term data management.
  • Incorporate Data Science, Machine Learning, and AI for handling large amounts of health data.
  1. Health Data Security:
  • Ensure the highest level of security for software and health data management.
  1. New Technique Development:
  • Convert and develop existing crude MATLAB codes and technology algorithms into efficient software for commercial use.
  • Create executable files with efficient large data handling capabilities.
  • Develop complex data processing software and manage large data analysis.
  • Develop a user-friendly interface for healthcare professionals.
  • Implement a remote kill switch for the software.
  • Apply all relevant requirements from existing software.
  1. Parallel Processing and Language Conversion:
  • Implement efficient parallel processing techniques.
  • Convert existing Python code to C/C++ or another suitable low-level efficient language to run software optimally on embedded hardware.
  1. Other Responsibilities:
  • Develop high-quality, efficient, and maintainable code.
  • Design intuitive and visually engaging user interfaces.
  • Proactively take on new responsibilities and suggest innovative ideas for product and company growth.
  • Participate in grant writing and fundraising activities.
  • Engage in FDA-related activities and adhere to quality protocols.
  • Perform other relevant software-related tasks as needed for the company.

Minimum Qualifications:
  • Master's degree in Computer Science, Software Engineering, or a related field.
  • Minimum of 5 years of experience in software development.
  • Strong coding skills in Python, C, and C++ (JavaScript is a plus).
  • Proficiency in developing intuitive and visually engaging graphical user interfaces.
  • Proficiency in SQL for effective data management and database design.
  • Experience with version control systems, particularly Git.
  • Ability to understand and generate code from workflow diagrams.
  • Knowledge of integrating multiple devices and establishing centralized control.
  • Familiarity with IDEs, preferably PyCharm.
  • Excellent problem-solving skills and ability to work independently.
  • Strong written and verbal communication skills.

Preferred Qualifications:
  • Experience working in the medical device industry.
  • Familiarity with Agile development methodologies.
  • Knowledge of machine learning techniques and algorithms.
  • Experience with Docker and containerization technologies.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Prior experience working in startups.
  • Experience with embedded systems and medical device software development.
  • Strong knowledge of data security, especially related to health data.
  • Knowledge of parallel processing and algorithm optimization.
  • Innovative mindset with a track record of proactive contributions.
  • Experience in grant writing and regulatory compliance (FDA).

What We Offer:
  • Competitive salary
  • Health, dental, and vision insurance coverage
  • Generous paid time off
  • Professional development opportunities
  • Potential to receive stock options
  • Opportunities for growth within the company
  • Flexible work arrangements, including remote work options
  • Dynamic and innovative startup environment
  • Opportunity to make a meaningful impact in the medical device industry

Apply