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Urgently Hiring Data Science Engineer Jobs (NOW HIRING)

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

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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 ...

RIT Solutions, Inc.

Senior Data Science Engineer

Manhattan, NY · On-site

$116K - $158K/yr

RIT Solutions, Inc. is seeking a Senior Data Science Engineer to join a high-impact AI engineering team responsible for delivering enterprise-scale machine learning and data science solutions. This ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

Jobtailor

Data Science Engineer

California, MO · On-site

$120 - $170/hr

Data Science * Forecasting Process * Operational Problems * Data Structures * Analytic Applications * Business Insights * Data Engineering * Customer Cancellation Forecasting * Cohort Retention Tools ...

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 ...

T-Mobile

Senior Data Science Engineer

Philadelphia, PA · On-site

$116K - $210K/yr

You'll collaborate with engineers, data scientists, product managers, and other stakeholders to ... To find the pay range for this role based on hiring location, At T-Mobile, our benefits exemplify ...

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 ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120 - $140/hr

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 ...

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 ...

DraftKings

Senior Data Science Engineer

Boston, MA · On-site

$115K - $156K/yr

The Crown Is Yours As a Senior Data Science Engineer, you'll help shape the advanced machine ... hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a ...

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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 Aug 23, 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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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 August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Science Engineer

FreedomPay

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 7 days ago

Job description

Job Summary:
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 various teams, and implementing these models in a production environment.
Responsibilities:
• Develop and improve upon machine learning models for a variety of tasks: e.g. company classification, funding and valuation prediction, company similarity
• Consult and develop data analytics pushes with product, marketing, and sales teams
• Write and communicate results and approaches both within and outside LeverDemo
• Implement machine learning models in a production environment
• Jump between data modeling, predictive modeling, data visualization, prototyping, and writing production code
Qualifications:
Required:
• BS/MS in Computer Science, Statistics, Mathematics, or equivalent
• Mastery of machine learning principles, from model specification to execution to validation
• Understanding of supervised and unsupervised methods like decision trees, support vector machines, and recommender systems
• Skill in Python, R, or similar statistical programming languages
• Experience with techniques in Natural Language Processing like named entity recognition, information extraction, and sentiment analysis
• Comfort working in a Unix environment
Company:
FreedomPay is a white label e-commerce platform for banks, retailers and healthcare organizations to deliver cloud-based user experiences. Founded in 2000, the company is headquartered in Radnor, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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