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Urgently Hiring Data Science Engineer Jobs (NOW HIRING)

Saviance

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

As a Senior Data Science Engineer, you will leverage radar data to drive strategic decisions, design data pipelines, and develop predictive models while collaborating with engineering teams to ensure ...

3ds

Lead Data Science Engineer

New York, NY · On-site

$135K - $180K/yr

Apply advanced skills in data architecture, data science engineering, data modeling, and data quality using modern cloud-native technologies. * Develop ETL pipelines, working with vector databases ...

Medidata Solutions

Lead Data Science Engineer

New York, NY · On-site

$135K - $180K/yr

Apply advanced skills in data architecture, data science engineering, data modeling, and data quality using modern cloud-native technologies. * Develop ETL pipelines, working with vector databases ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing Sciences and Technology. This role will have hands-on responsibility over all manufacturing process ...

MDAEdge

Principal Data Science Engineer

$138K - $185K/yr

They are seeking a high-impact principal data science engineer to join an early-stage team with a focus on creating large-scale positive impact in the world while generating substantial value in a ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

MiniMed

Senior AI/Data Science Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About the Role ThisSenior AI/Data Science Engineer role is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering ...

RDR, Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

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How much do urgently hiring data science engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for urgently hiring data science engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a data science engineer do?

An Urgently Hiring Data Science Engineer is responsible for quickly joining a team to design, develop, and implement data-driven solutions using advanced analytics, machine learning, and statistical methods. They work with large datasets, build data pipelines, and create predictive models to solve business problems. This role often requires collaborating with other engineers, data analysts, and business stakeholders to deliver actionable insights and support decision-making processes. The 'urgently hiring' aspect means employers are looking to fill the position as soon as possible due to immediate project needs or company growth.

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

To thrive as a Data Science Engineer, you need a strong background in statistics, programming (Python or R), and data modeling, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with machine learning frameworks (such as TensorFlow or Scikit-learn), big data tools (like Spark or Hadoop), and cloud platforms (AWS, GCP, or Azure) is often expected, along with relevant certifications. Exceptional problem-solving, communication, and collaboration skills help you translate complex data insights into business value and work effectively with multidisciplinary teams. These skills and qualities are crucial for building effective data-driven solutions and maximizing organizational impact.

What are some common challenges faced by data science engineers when collaborating with cross-functional teams?

Data Science Engineers often work closely with product managers, software engineers, and business analysts, which can present challenges such as aligning on project goals, managing different priorities, and ensuring clear communication of complex technical concepts. It is crucial to translate data-driven insights into actionable business strategies that non-technical stakeholders can understand. Effective collaboration requires both technical expertise and strong interpersonal skills to bridge the gap between data science and other departments, ensuring that projects stay on track and deliver meaningful results.

What is the difference between Urgently Hiring Data Science Engineer vs Data Analyst?

AspectUrgently Hiring Data Science EngineerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; experience with programming languages like Python or RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentTech companies, startups, or industries requiring advanced modeling and machine learningBusiness intelligence, marketing, finance, or operations teams analyzing data for insights
Employer & Industry UsageUsed in industries focusing on predictive modeling, AI, and complex data solutionsCommon in industries needing data reporting, dashboards, and descriptive analytics

The main difference is that a Data Science Engineer focuses on building predictive models and machine learning solutions, requiring advanced technical skills, while a Data Analyst primarily interprets data through reports and visualizations. The urgency in hiring indicates immediate project needs for the Data Science Engineer role.

Are data science engineers still in demand?

Data science engineers are currently in high demand due to the increasing reliance on data-driven decision making across industries. They are sought after for their skills in machine learning, statistical analysis, and programming languages like Python and R, often requiring knowledge of big data tools such as Hadoop or Spark. The role remains critical as organizations prioritize AI and analytics initiatives.
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Urgently Hiring Data Science Engineer jobs near you
Infographic showing various Urgently Hiring Data Science Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Science Engineer (Python & Databricks) - Q125

Alpharetta, GA • On-site

R2 Technologies Corporation
See more jobs at R2 Technologies Corporationexternal

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Data Science Engineer (Python & Databricks)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a talented Data Science Engineer to leverage Python and Databricks for building machine learning solutions. This role focuses on developing data-driven insights and models within a scalable Spark environment.
Key Responsibilities
  • Develop data science solutions using Python and Databricks for analytics and ML workflows.
  • Build and optimize Spark-based data pipelines to support machine learning model training.
  • Collaborate with data scientists to implement and deploy ML models in production.
  • Analyze large datasets to extract actionable insights using Python and Spark tools.
  • Ensure scalability and performance of data science workflows on Databricks clusters.
  • Monitor and refine ML solutions to maintain accuracy and efficiency over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Science Engineer with Python and Databricks.
  • Proficiency in building ML models and data pipelines using Spark on Databricks.
  • Experience with Python for data analysis, modeling, and pipeline development.
  • Strong understanding of data science and machine learning integration in distributed systems.

Preferred Qualifications
  • Familiarity with advanced Databricks features like Delta Lake or MLflow for ML workflows.
  • Exposure to cloud platforms like AWS or Azure for hosting Databricks environments.
  • Knowledge of statistical modeling or deep learning frameworks like TensorFlow.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Science Engineer, Python, Databricks, Spark, Machine Learning

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