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Data Engineer Data Scientist Jobs (NOW HIRING)

OpenArt

Data Scientist

San Francisco, CA · On-site

$300K - $400K/yr

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... Work across product, engineering, data, marketing, and finance - one of the most cross-functional ...

OpenArt AI

Data Scientist

San Francisco, CA · On-site +1

🧑🏼 💻 Data Scientist 🎨 About OpenArt OpenArt is an AI Storytelling and Visual Creation ... Work across product, engineering, data, marketing, and finance -- one of the most cross-functional ...

Graphite

Data Scientist

New York, NY · On-site

$160/hr

Graphite builds consumer-quality tools for modern software engineering teams, so they can ship ... About the Role Graphite is growing rapidly, and we're looking for a data scientist to support ...

kgs

Data Engineer/Data ProjectLead (REMOTE)

Chantilly, VA · Remote

$117K - $140K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, Data Engineering, or related field from an accredited college or university * At least 10 years of relevant and progressive ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Factspan Inc

Data Scientist + MLE

Atlanta, GA

1.Job Title: ML Engineer+ Data Scientist Experience Location: Atlanta, GA (Remote) Employment Type: Fulltime Experience: 8+ Years Must have skills: * MLE and Productionization experience

ActioNet

Data Engineer

$117K - $140K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions. * Develop efficient data processing and transformation ...

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All JobsData Engineer Data Scientist Jobs

Data Engineer Data Scientist information

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$165K

$243.5K

How much do data engineer data scientist jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data engineer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data Scientist vs Data Analyst?

AspectData EngineerData Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related; often certifications in cloud or big data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentBuilds data pipelines, manages databases, works with big data toolsAnalyzes data, creates reports, visualizations for business insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting

While Data Engineers focus on building and maintaining data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Analysts focus on data analysis and reporting.

What is the 80 20 rule in data science?

In data science and data engineering, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of effects come from 20% of causes. Data professionals often focus on the most impactful features or data subsets to optimize models and workflows efficiently.

What are the key skills and qualifications needed to thrive as a Data Engineer or Data Scientist, and why are they important?

To thrive as a Data Engineer or Data Scientist, you need a strong background in mathematics, statistics, programming (commonly Python or SQL), and data modeling, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Hadoop or Spark), data visualization tools, and cloud platforms (like AWS or Azure), as well as relevant certifications, is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities enable professionals to efficiently process complex data, drive data-informed decisions, and add value to organizations.

Can a data engineer work as a data scientist?

A data engineer can transition to a data scientist role since both require strong skills in data manipulation, programming, and understanding of data systems. However, data scientists typically focus more on statistical analysis, machine learning, and modeling, which may require additional training or experience. Familiarity with tools like Python, R, and SQL is common to both roles.

Which pays more, a data engineer or a data scientist?

Data engineers and data scientists often have similar salary ranges, but data scientists tend to earn slightly higher on average due to their focus on advanced analytics and modeling skills. Salaries vary based on experience, location, and industry, with data scientists typically requiring expertise in machine learning and statistical analysis tools. Both roles are in high demand, and certifications or proficiency in programming languages like Python or SQL can influence compensation.

How do Data Engineer Data Scientists typically collaborate with other teams within an organization?

Data Engineer Data Scientists often work closely with data analysts, software engineers, and business stakeholders to ensure that data pipelines are both reliable and tailored to business needs. They are responsible for transforming raw data into actionable insights, which means they regularly participate in cross-functional meetings to understand project requirements and feedback. Collaboration often includes designing data models, optimizing queries, and deploying machine learning models, all while ensuring data integrity and security. This collaborative environment not only enhances the quality of data-driven solutions but also provides opportunities for continuous learning and professional growth.

Is 40 too late for data science?

Data engineers and data scientists can successfully transition into their roles at age 40 or older, as skills such as programming, data analysis, and machine learning are learnable at any age. Experience, continuous learning, and relevant certifications can enhance employability regardless of age, and many organizations value diverse backgrounds and perspectives.
What cities are hiring for Data Engineer Data Scientist jobs? Cities with the most Data Engineer Data Scientist job openings:
What states have the most Data Engineer Data Scientist jobs? States with the most job openings for Data Engineer Data Scientist jobs include:
Data Engineer Data Scientist jobs near you
Infographic showing various Data Engineer Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

OpenArt

San Francisco, CA • On-site

$300K - $400K/yr

Full-time

Posted 17 days ago

Job description

Data Scientist
About OpenArt
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we're shaping that future.
Why Join OpenArt
  • First Data Scientist hire in the US - set the bar, shape the function, and build the foundation of OpenArt's data science practice.
  • Direct impact on product strategy - your work shapes what we build, how we prioritize, and how we measure success.
  • Work across product, engineering, data, marketing, and finance - one of the most cross-functional roles in the company.
  • Build from 0 → 1 - define how we use data to drive product decisions atOpenArt.
  • High ownership, low process, fast iteration environment.
  • 7-10X revenue growth over the past 2 years - now scaling our data and analytics infrastructure to match.

About the Role
We're looking for a Data Scientist to be our first DS hire in the US (we have a Data Analyst based in Shenzhen) and help build OpenArt's data science function from the ground up.
This role sits at the intersection of product, analytics, and experimentation -focused on turning data into product decisions that move the needle for millions of creators.
You'll work closely with cross-functional teams including Product, Engineering, Data Engineering, Marketing, and Finance. By applying your technical skills, analytical mindset, and product intuition, you will help our customers improve their creative experience and help OpenArt identify and solve product development's biggest challenges.
What You'll Do
  • Product leadership: use data to shape product development, quantify new opportunities, set goals, identify upcoming challenges, and ensure the products we build bring value to our customers.
  • Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches - different methodologies, frameworks, and technical techniques - to test them.
  • Experimentation: design, run, and analyze A/B tests and other causal experiments; help establish the experimentation culture and standards across the company.
  • Metrics and measurement: define and own key product metrics, build dashboards, and ensure leaders and teams have accurate, trusted data to make decisions.
  • User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to surface insights that drive retention, engagement, and monetization.
  • Communication and influence: convince and influence your partners by telling clear data stories - translate complex analyses into crisp recommendations for PMs, engineers, and execs.
  • Cross-functional partnership: collaborate with Data Engineering on instrumentation and pipelines, with Product/Eng on feature design and measurement, and with Marketing/Finance on growth and revenue analytics.
  • Build the function: establish DS best practices, mentor over time, and help shape the team as it grows.

What We're Looking For
Core Requirements
  • Bachelor's or above in a quantitative discipline: Statistics, AppliedMathematics, Economics, Computer Science, Engineering, or related field
  • Minimum 3 years of work experience in analytics or data science
  • Expert SQL and strong Python skills
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques such as regression and decision trees
  • Strong product intuition - able to connect numbers to user behavior and product decisions
  • Strong verbal and written communication skills; able to tell clear data stories to both technical and non-technical audiences
  • A humble, collaborative, can-do attitude and natural curiosity
  • High ownership, fast execution, and strong attention to detail

Nice to Have
  • Experience as the first or early DS hire at a startup
  • Experience working with consumer products, marketplaces, or creator/UGC platforms
  • Familiarity with experimentation platforms and causal inference methods
  • Experience with BigQuery, Amplitude, Metabase, or similar tools in data stack
  • Experience partnering with marketing/growth teams (LTV, retention, funnel analysis)
  • Exposure to AI/ML products or generative AI
  • Comfort working across time zones with a globally distributed team

Tech Stack You'll Work With
BigQuery, SQL, Python, Amplitude, Metabase, Stripe, GCP
Compensation
  • Competitive base salary and bonus program
  • Equity - meaningful ownership in what you build
  • High autonomy, high growth environment

Work Setup
  • Bay Area preferred (hybrid allowed)
  • Visa sponsorship available
  • We'll consider remote

Apply