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Data Science Startup Jobs in Ohio (NOW HIRING)

Our team of marketers, software engineers, data scientists, and logistics experts is on a mission ... You thrive in startup environments where ownership is high and structure is still evolving. You're ...

... startup agility with the stability of an industry leader. Partner with enterprise customers and global experts to advance environmental safety and solve complex data science challenges. Join us and ...

Electrical and Controls Engineer

Tallmadge, OH · On-site

$73K - $98K/yr

Develop scope, estimate costs, evaluate program, and coordinate resources for vertical startup ... Able to utilize data and data collection systems for problem-solving and decision-making to ...

Electrical and Controls Engineer

Tallmadge, OH · On-site

$73K - $98K/yr

Develop scope, estimate costs, evaluate program, and coordinate resources for vertical startup ... Able to utilize data and data collection systems for problem-solving and decision-making to ...

Electrical and Controls Engineer

Granville, OH · On-site

$74K - $99K/yr

Develop scope, estimate costs, evaluate program, and coordinate resources for vertical startup ... Able to utilize data and data collection systems for problem-solving and decision-making to ...

Manufacturing Engineer

Marietta, OH · On-site

$25 - $30/hr

As a global leader in serving the scientific community, the organization generates approximately ... Support startup activities for ULT production, including equipment validation, layout updates, and ...

Showing results 41-60

Data Science Startup information

See Ohio salary details

$21.5K

$103.2K

$192.4K

How much do data science startup jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data science startup in Ohio is $103,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,562.00 and $143,517.00 per year, depending on experience, location, and employer.

What is a Data Science Startup job?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in Ohio? The most popular types of Data Science Startup jobs in Ohio are:
What are popular job titles related to Data Science Startup jobs in Ohio? For Data Science Startup jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in Ohio look for? The top searched job categories for Data Science Startup jobs in Ohio are:
Infographic showing various Data Science Startup job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,188 per year, or $49.6 per hour.

Full-time

Posted 21 days ago


Job description

Portcast is a venture-backed, Singapore-based logistics technology startup building a real-time transportation visibility platform for global supply chains. We help shippers, manufacturers, and logistics service providers turn data into decisions and decisions into measurable business impact.

Our platform goes beyond visibility. Portcast enables action at scale by surfacing the right risks early, helping teams prevent detention and demurrage, accelerate exception management, and close invoices faster with built-in evidence. We turn visibility into outcomes: reduced costs, improved operational control, and more predictable supply chains.

Founded in 2018 and backed by leading technology investors, we are building for an industry at a critical inflection point of digital transformation. Our team of marketers, software engineers, data scientists, and logistics experts is on a mission to make supply chains not just visible, but decisively actionable, end to end.

ABOUT THE ROLE:

This is a highly autonomous, individual contributor role where you'll own the entire enterprise sales cycle across the Americas, focusing on Freight Forwarders, Logistics Service Providers (LSPs), and Beneficial Cargo Owners (BCOs). You'll be responsible for building pipeline, managing complex enterprise opportunities, and closing new customers while becoming Portcast's commercial presence across the region.

This isn't a role where you'll inherit a mature territory or a large local team. You'll work closely with our CEO, Revenue leadership, Marketing, Product, Solutions, and Customer Success while operating independently within your timezone. We're looking for someone who enjoys building, takes initiative without waiting for direction, and is comfortable making decisions that move deals forward.
WHAT YOU'LL OWN
  • New Business Development: Own pipeline generation across the Americas by identifying and engaging enterprise Freight Forwarders, Logistics Service Providers (LSPs), and Beneficial Cargo Owners (BCOs). Leverage outbound prospecting, referrals, partnerships, industry events, and your network to consistently create qualified opportunities.
  • Enterprise Sales: Own the full enterprise sales cycle, from prospecting and qualification through discovery, solution demonstrations, commercial negotiations, and contract execution. Build relationships with senior stakeholders across operations, supply chain, logistics, procurement, and digital transformation teams within enterprise Freight Forwarders, LSPs, and BCOs.
  • Customer Partnership: Develop trusted relationships with enterprise customers by understanding their operational challenges and demonstrating how Portcast helps improve supply chain visibility, exception management, operational efficiency, and business outcomes. Partner closely withCustomer Success to ensure a seamless transition following deal closure.
  • Territory Ownership: Build and grow Portcast's presence across the Americas. Develop territory plans, prioritize target accounts, identify whitespace opportunities, and establish a repeatable enterprise sales motion across Freight Forwarders, LSPs, and BCOs.
  • Cross Functional Collaboration: Partner closely with Marketing, Product, Solutions, and Customer Success to improve sales collateral, influence product direction, share customer insights, and continuously strengthen our go-to-market strategy.
  • Forecasting & Pipeline Management: Maintain a disciplined sales process with accurate CRM hygiene, opportunity management, forecasting, and regular reporting. Provide clear visibility into pipeline health, risks, and support needed to achieve targets.
WHAT WE'RE LOOKING FOR
  • Enterprise B2B SaaS Sales: You have proven success selling enterprise B2B SaaS solutions with a track record of consistently achieving or exceeding quota.
  • Full Cycle Hunter: You're comfortable owning every stage of the sales process, from building pipeline through closing complex enterprise opportunities. You enjoy prospecting as much as negotiating.
  • Logistics & Supply Chain: Experience selling into shippers, beneficial cargo owners (BCOs), freight forwarders, or logistics service providers is highly preferred. More importantly, you're genuinely curious about supply chains and can quickly develop credibility with enterprise buyers.
  • Builder Mentality: You thrive in startup environments where ownership is high and structure is still evolving. You're comfortable being the only commercial person in your region and don't need constant direction to stay productive.
  • Customer First: You ask thoughtful questions, understand operational challenges, and position solutions around business outcomes rather than product features. Y
  • Self Starter: Working independently energizes you. You proactively solve problems, remove blockers, and know when to involve leadership while maintaining ownership of your deals.
  • Communication: You communicate confidently with senior stakeholders, facilitate executive conversations, negotiate effectively, and build trust throughout long enterprise buying cycles. You collaborate effectively across Sales, Product, Marketing, Customer Success, and leadership.
WHAT'S IN IT FOR YOU
  • High Ownership: Own your territory with the autonomy to make decisions, shape account strategy, and influence how we grow across the region. You'll work directly with company leadership and have a meaningful voice in our go-to-market strategy.
  • Solve Meaningful Problems: Help some of the world's largest manufacturers, shippers, and logistics providers make smarter decisions across global supply chains through AI and real-time visibility technology.
  • Remote First: Work remotely from anywhere in the United States, Mexico, or South America while collaborating with teammates across Asia and Europe in a culture built on trust, ownership, and accountability.
OUR CORE VALUES GUIDE EVERYTHING WE DO
  • Curiosity: The best sales conversations start with great questions. We take the time to understand our customers' business, challenge assumptions, and continuously learn about the industries we serve.
  • Ownership: We act like founders. We don't wait for someone else to solve a problem or create an opportunity. We take initiative, follow through, and stay accountable for outcomes from first conversation to signed customer.
  • Raising the Bar: We challenge ourselves to improve every day. Whether it's refining our sales process, sharpening our messaging, or delivering a better customer experience, we're never satisfied with "good enough."
  • Effectiveness: We focus on what moves the business forward. We prioritize high impact work, make thoughtful trade offs, and measure success by meaningful customer and commercial outcomes, not activity alone.

Join us at Portcast and help shape the future of the logistics and shipping industry through marketing that is as sharp as the product behind it.

This is a fully remote role within the United States. Candidates must be authorized to work in the US. Visa sponsorship is not available at this time. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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