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Urgently Hiring Data Science Engineer Jobs (NOW HIRING)

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 (Hybrid) * Duration: 11/17/2025 to 11/13/2026 * Team: Fraud ADUS Key Responsibilities: * Develop and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

R0240303 Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA

$77K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

LLNL

Data Science Engineer

Livermore, CA

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science ...

1 point system

Data Science Engineer

Century City, CA · On-site

Minimum 3 years working in a Data Science role * Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business * Master's Degree in relevant discipline ...

Adobe

Data Science Engineer

San Jose, CA

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide ... As part of the hiring experience, we provide clear guidance on where AI is encouraged during the ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide ... As part of the hiring experience, we provide clear guidance on where AI is encouraged during the ...

FreedomPay

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

FreedomPay is seeking a Data Science Engineer who can creatively solve complex data problems and enhance their product team. The role involves developing machine learning models, collaborating with ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Share this job: Share: Share Palantir AI and Data Science Engineer with Facebook Share Palantir AI and Data Science Engineer with LinkedIn Share Palantir AI and Data Science Engineer with Twitter ...

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All JobsUrgently Hiring Data Science Engineer Jobs

Urgently Hiring Data Science Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jun 21, 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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for data infrastructure, cloud computing, and big data processing. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making this a strong job market for data engineering roles.

Is 40 too late for data science?

Age is not a barrier to becoming a data science engineer; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses and certifications regardless of age.

What does an Urgently Hiring 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 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.

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 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often focus on the most impactful variables or data subsets to optimize model performance and efficiency.

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

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.

Is data science engineering in demand?

Data science engineering is in high demand due to the increasing reliance on data-driven decision making across industries. Professionals with skills in machine learning, programming, and data analysis are sought after for roles involving big data, AI, and analytics tools. The field offers strong job growth and competitive salaries for qualified candidates.
What cities are hiring for Urgently Hiring Data Science Engineer jobs? Cities with the most Urgently Hiring Data Science Engineer job openings:
What are the most commonly searched types of Data Science Engineer jobs? The most popular types of Data Science Engineer jobs are:
What states have the most Urgently Hiring Data Science Engineer jobs? States with the most job openings for Urgently Hiring Data Science Engineer jobs include:
Urgently Hiring Data Science Engineer jobs near you
Infographic showing various Urgently Hiring Data Science Engineer job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Science Engineer

Data Science Engineer

Cypress HCM

Austin, TX • Hybrid

$65 - $69.72/hr

Full-time

Posted 23 days ago

Job description


Data Science Engineer
Job Details
  • Data Science Engineer (Contract)
  • Location: Austin TX, 78758 (Hybrid)
  • Duration: 11/17/2025 to 11/13/2026
  • Team: Fraud ADUS
Key Responsibilities:
  • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
  • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes.
  • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.
Required Skills & Qualifications:
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Advanced degrees are a plus.
  • 5 years of experience in data science and machine learning.
  • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
  • Hands-on experience with AI agents and LLMs - Preferred.
  • Showcase a successful history of leading impactful data science initiatives.
  • Exhibit strong communication and teamwork abilities.
  • This role is not suitable for entry-level candidates or interns.
Compensation:
  • $65.00 to $69.72 per hour.
#36557742
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About Cypress HCM

Sourced by ZipRecruiter

We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

Social media

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