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Data Science Jobs (NOW HIRING)

MILLENNIUMSOFT

Data Science

Franklin Lakes, NJ · On-site +1

Data Science Location : Franklin Lakes, NJ Duration : 4 Months Total Hours/week : 40.00 Client : Medical Devices Company Employment Type : Contract on W2 (Need US Citizens or GC Holders or GC EAD or ...

Syntricate Technologies

Data Science

Cupertino, CA · On-site

Position- Data Science Duration-Contract Location- Cupertino, CA JD * Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

UST

Data Science

Issaquah, WA · On-site

UST is a mission-driven company that transforms lives through technology and is seeking a Data Scientist. The role involves collecting, cleaning, and preprocessing data, performing exploratory data ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

Diverse Lynx

Data Science

Burbank, CA · On-site

Role- Data Science Location- BURBANK, CA onsite Type- Contract We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate ...

Syntricate Technologies

Data Science

Sunnyvale, CA · On-site

Data Science Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM. Extensive experience in TIME SERIES.

Saviance

Data Science

Los Angeles, CA · On-site

Data Science Job Location: Los Angeles, CA 90025 Contract: 12 Months Must Have Skills (Top 3 technical skills only) * Natural language processing * Machine Learning * Python Nice to have skills (Top ...

Prism Data

Data Science Intern

San Diego, CA · On-site

$32.50/hr

Data Science Intern Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and ...

Prism Data

Data Science Intern

Manhattan, NY · On-site

$32.50/hr

Data Science Intern Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic and entrepreneurial team that is executing on a variety of projects that are technology oriented. A ...

New

Walleye Capital

Data Science

Manhattan, NY · On-site

Data Science Position: Data Science Location: New York, NY Firm Overview: Walleye Capital is a ~$13 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees ...

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

The Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will ...

eTeam

Data Science

Cupertino, CA · On-site

Data Science Location: Cupertino, CA/ Austin, TX Duration: 6 Months Description: MINIMUM QUALIFICATIONS: * 10 years of demonstrated experience in an Analytics and Strategy role. * Strong business ...

DeepIntent

Director, Data Science

New York, NY

$200K - $250K/yr

The Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will ...

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$122.7K

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How much do data science jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

More about Data Science jobs
What cities are hiring for Data Science jobs? Cities with the most Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Data Science jobs? States with the most job openings for Data Science jobs include:
What job categories do people searching Data Science jobs look for? The top searched job categories for Data Science jobs are:
Data Science jobs near you
Infographic showing various Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science

MILLENNIUMSOFT

Franklin Lakes, NJ • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Position                            : Data Science

Location                           : Franklin Lakes, NJ

Duration                          : 4 Months

Total Hours/week            : 40.00

Client                                : Medical Devices Company

Employment Type           : Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)

Hybrid to remote 3 days on site

Education:

Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline

Job Description:

  • We are looking for a Data Science who is passionate about data and analysis tools, has the rigor needed to solve problems, and demonstrates curiosity and enthusiasm adopting new technologies to innovate.
  • The person will report to Senior Principal Data Scientist in HEOR-RWE and be focusing on building interactive applications on Amazon Web Services (AWS) Cloud, automating data pipeline, and facilitating training.

Responsibilities:

  • In your role as a Data Science temp, you will use AWS Cloud cutting-edge technology to design/manipulate heterogenous data sets, and build or enhance applications in the areas listed below:
  • Manipulate and merge data from different sources using programming language R or Python.
  • Create and improve efficiency of data pipelines on AWS Cloud.
  • Build data visualization dashboards and add features and functionalities using AWS QuickSight.
  • You will gain experiences working on healthcare clinical trials development industry, develop data driven solutions to increase clinical research efficiency.
  • You will be working closely with other members of our Data Science team to deliver value to our business partners.

Education and Qualifications:

  • Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline.
  • Curiosity and enthusiasm about data related techniques.
  • Exposure to AWS Cloud technologies.
  • Ability to program in Python, R or similar languages.
  • Proficiency in writing SQL queries to join tables and manipulate data.
  • Test and assess the quality of new tools.
  • Eager to learn a new set of tools in AWS Cloud and work on challenging problems.
  • Strong verbal and written communication and presentation skills.
  • Able to work with internal clients with minimal supervision.

Language Requirement

  • Fluent written and spoken English

Work Environment

  • Hybrid

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