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Data Science Associate Jobs in Syracuse, NY (NOW HIRING)

Howard

Assistant Professor

Locke, NY

... or Associate Professor position. The department seeks candidates with research expertise and ... Teach undergraduate and graduate courses in mathematics, data science, machine learning, and ...

East West Bank

Senior AI Engineering

Syracuse, NY · On-site

$150 - $275/hr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical ...

Howard

Associate Dean

Locke, NY

The College of Arts and Sciences (COAS) invites applications for Associate Dean for Research and ... The Office also engages in ongoing data collection, analysis, reporting, and making recommendations ...

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All JobsData Science Associate JobsData Science Associate Jobs in Syracuse, NY

Data Science Associate information

See Syracuse, NY salary details

$56.8K

$67.2K

$127.5K

How much do data science associate jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science associate in Syracuse, NY is $67,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $58,800.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Syracuse, NY? The most popular types of Data Science jobs in Syracuse, NY are:
What are popular job titles related to Data Science Associate jobs in Syracuse, NY? For Data Science Associate jobs in Syracuse, NY, the most frequently searched job titles are:
What cities near Syracuse, NY are hiring for Data Science Associate jobs? Cities near Syracuse, NY with the most Data Science Associate job openings:
Data Science Associate jobs near you

Scientific Implementation Associate

Uncountable

Cleveland, NY • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Retirement

Re-posted 10 days ago

Job description

Thank you for your interest in Uncountable Implementations!
Scientific Implementation Associate
About Uncountable
Science moves slowly - not because researchers aren't brilliant, but because their tools haven't kept up. Uncountable is changing that. We build a unified R&D platform used by the world's leading chemists, material scientists, and biologists to dramatically accelerate how new products are discovered, developed, and brought to market.
Founded by engineers from MIT and Stanford, and trusted by enterprise R&D organizations across chemicals, pharmaceuticals, advanced materials, and food & beverage, Uncountable is on a mission to accelerate industrial R&D by an order of magnitude. We're a high-impact team that moves fast and gives people real ownership from day one.
The Role
This role is built for a scientist who is excited about what happens when good data infrastructure meets great research - and who wants to be on the front lines of making that happen.
As a Scientific Implementation Associate, you'll work directly with R&D teams at some of the world's leading industrial companies, helping them bring their science into the Uncountable platform. That means understanding how they design experiments, what data they generate, and how they think about their workflows - then translating all of that into a platform configuration that actually reflects their science.
It's hands-on, technically engaging work. You'll spend time restructuring and contextualizing real customer datasets, designing data models that capture complex experimental relationships, and iterating on configurations in close collaboration with scientists and engineers. Over time, you'll also take on increasing ownership of full customer implementations - from first meeting through go-live.
This is an ideal entry point for someone with a scientific background who wants to build a career at the intersection of science, software, and customer impact - without leaving their domain expertise behind.
What You'll Do
Support Scientific Implementations
  • Work alongside senior implementation team members to onboard new customers and support existing ones with new implementation initiatives
  • Learn and apply Uncountable's implementation methodology to configure the platform for individual customers' experimental workflows and data environments
  • Take on increasing ownership of implementations over time, eventually leading your own from end to end

Design and Configure Complex Scientific Workflows
  • Translate customers' experimental paradigms - how they define formulations, design experiments, record measurements, and track results - into accurate, well-structured platform configurations
  • Map scientific data structures (multi-variable formulations, hierarchical sample relationships, linked test methods) onto Uncountable's data model, making principled decisions about how to best represent each customer's science
  • Work through ambiguous, real-world data environments - customers with years of legacy spreadsheets, idiosyncratic naming conventions, and non-standard workflows - and design configurations that are both scientifically accurate and practically usable
  • Iterate on platform configurations in working sessions with customers, testing and refining until the system genuinely reflects how their team thinks about their research

Engage Directly with Customers
  • Join and eventually lead meetings with R&D scientists, data managers, and technical stakeholders
  • Build credibility through scientific fluency - understanding customers' domains well enough to ask the right questions and propose the right solutions
  • Communicate clearly and empathetically across a wide range of audiences, from bench scientists to R&D directors

Contribute to Team Knowledge
  • Help document reusable configuration patterns across domains (coatings, polymers, pharma, food science, etc.) that accelerate future implementations
  • Share observations from the field with product and engineering teams to help shape what Uncountable builds next

Your First 180 Days
Month 1: Develop deep fluency in Uncountable's platform and implementation methodology. Begin configuring experimental data for onboarded customers under the guidance of senior team members, learning how to faithfully capture end-user workflows.
Months 2-3: Start joining customer meetings and demos, contributing to scientific due diligence sessions and data requirement conversations. Take on configuration work more independently, with support from your team.
Months 4-6: Take ownership of the implementation process for a new customer. Lead meetings, set timelines, manage milestones, and advocate for any product development needed to deliver a great outcome.
Requirements
  • Scientific background: A B.S. or higher in chemistry, materials science, biology, chemical engineering, or a related field - or 1+ years of hands-on experience in a scientific or technical role
  • Data fluency: Comfort working with data in Excel or similar tools; Python or other scripting skills are a significant plus
  • Software fluency: Hands-on comfort working with scientific or technical software - whether that's an ELN, LIMS, instrument software, or data analysis tools. You don't need to be a software engineer, but you should be someone who picks up new tools quickly and isn't intimidated by data-heavy environments
  • Communication: Strong written and verbal communication skills, with the ability to explain technical concepts clearly to varied audiences
  • Empathy and adaptability: The ability to understand not just what a scientist is saying, but what they actually need - and to adapt to different organizational styles and working environments
  • Curiosity: A genuine interest in software, data, and how technology can transform R&D workflows

Preferred Qualifications
  • Hands-on lab experience - time spent running experiments gives you instant credibility with our customers
  • Exposure to data management concepts: structured spreadsheets, databases, ELNs, or LIMS
  • Experience in a customer-facing, teaching, or collaborative technical role
  • Familiarity with more than one scientific domain (e.g., organic chemistry and polymer science, or biotech and formulation)
  • Python or scripting experience for data processing or analysis

Why This Role
  • A rare entry point: This role gives scientists a path into the tech industry that doesn't require abandoning their domain expertise - you'll use your scientific knowledge every day, and deepen it across new fields
  • Fast ownership: We give people real responsibility early. Within six months, you'll be leading your own customer implementations - not just supporting them
  • Direct impact: Your work accelerates R&D at organizations developing next-generation products, from sustainable materials to pediatric cancer treatments
  • Clear career growth: Previous Scientific Implementation Associates at Uncountable have grown into Manager and Director-level roles, with exposure across scientific domains, enterprise software, and business development
  • An engineering-first culture: You'll work closely with our engineering and product teams, giving you a window into how world-class software gets built - and a voice in shaping it

Benefits
  • Competitive base salary with performance bonus and equity
  • Health and dental insurance
  • 401(k) with employer contribution (US locations)
  • Direct mentorship from experienced implementation managers and a fast path to increased ownership

Apply