ZipRecruiter

Log In

2

Remote Data Science Jobs in Utica, NY (NOW HIRING)

PAR Technology

Sr. Data Engineer

New Hartford, NY · Remote

$144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements: * Experience : 5+ years of experience in data engineering or related roles * Project Management

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Utica, NY

Remote Data Science information

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Utica, NY?

The most popular types of Data Science jobs in Utica, NY are:

What are popular job titles related to Remote Data Science jobs in Utica, NY?

For Remote Data Science jobs in Utica, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Utica, NY look for?

The top searched job categories for Remote Data Science jobs in Utica, NY are:

What cities near Utica, NY are hiring for Remote Data Science jobs?

Cities near Utica, NY with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Utica, NY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr. Data Engineer

PAR Technology

New Hartford, NY • Remote

$144K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

PAR Technology rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

169th of 244 rated software companies

Job description

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.

Position Description:

We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. The ideal candidate will have a passion for tackling complex challenges related to extracting insights from transactional data. In this role, you will work closely with our Application Development teams, Customer Support, Business SMEs, and stakeholders to design and implement data pipelines that transform our data into valuable insights. As we strive to scale and deploy new technologies that enhance the user experience and provide deeper insights, your expertise will be critical to our success.

Position Location:

Remote, United States

Reports To:

Engineering Manager

What We’re Looking For:

Requirements:

  • Experience: 5+ years of experience in data engineering or related roles

  • Project Management: Experience leading projects and collaborating across teams

  • Problem-Solving Skills: Strong analytical and problem-solving abilities

  • Communication: Excellent communication skills for stakeholder engagement

  • Continuous Learning: Commitment to staying updated with industry technology trends

  • Agentic Engineering: Hands-on experience building with LLMs and coding agents to amplify day-to-day output, including the harnesses and internal tooling that let you and the rest of the team move faster.

Additional skills:

  • Programming: Python, SQL, Terraform

  • Data Modeling: Strong understanding of data modeling concepts and practices

  • Big Data Technologies: Spark, Databricks, Structured Streaming

  • Databases: Relational (Postgres) and NoSQL (DynamoDB) databases

  • CI/CD : CircleCI, DroneCI, Github Actions, Spacelift

  • Monitoring & Observability: DataDog

  • Cloud Platforms: AWS or Azure and their data solutions

  • Data Governance: Understanding data privacy, security, and governance practices

  • AI/ML Integration: Ability to integrate AI/ML models into data pipelines

  • LLM Tools: Experience with Claude Code, Cursor, Copilot, MCP, Agent Orchestrators

  • Version Control: Git, Github

Unleash your potential: What you will be doing and owning:

  • Developing robust, scalable data pipelines using cutting-edge technologies

  • Architecting and developing innovative data products that drive business insights

  • Utilizing advanced AI techniques to transform raw data into strategic intelligence

Interview Process:

  • Interview #1: Video Screen with Talent Acquisition Team

  • Interview #2: Video interview with the Hiring Manager (via MS Teams)

  • Interview #3: Video interview with the Team (via MS Teams)

PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor\'s website. 

What PAR Technology employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply