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Immediately Hiring Data Science Jobs (NOW HIRING)

Apple

Senior Data Scientist, Apple Ads

Austin, TX

$150K - $277K/yr

We are hiring Data Scientists across multiple teams and areas of focus within Apple Ads. Successful candidates may be considered for a variety of opportunities depending on their experience ...

National Grid

Data Scientist, Data Science

Waltham, MA · Hybrid

$103K - $121K/yr

About us National Grid is hiring a Data Scientist - Data, Business Intelligence & Advanced Analytics. This is a hybrid position and can be based out of Waltham, MA or Northborough, MA. Every day we ...

Apple

Senior Data Scientist, Apple Ads

Austin, TX

$150K - $277K/yr

We are hiring Data Scientists across multiple teams and areas of focus within Apple Ads. Successful candidates may be considered for a variety of opportunities depending on their experience ...

Apple

Senior Data Scientist, Apple Ads

Austin, TX

$150K - $277K/yr

We are hiring Data Scientists across multiple teams and areas of focus within Apple Ads. Successful candidates may be considered for a variety of opportunities depending on their experience ...

JTEC Consulting

Data Scientist / Data Engineer

Mclean, VA · Hybrid

$160K - $220K/yr

JTEC Consulting is actively hiring Data Scientists, Data Engineers, and Data Analysts to support critical mission requirements for an Intelligence Community (IC) customer in Northern Virginia. In ...

Vizient

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

You will be responsible for data science projects across the healthcare domains of clinical ... Why this fellowship Estimated Hiring Range: At Vizient, we consider skills, experience, and ...

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Immediately Hiring Data Science information

What does 'Immediately Hiring Data Science' mean?

'Immediately Hiring Data Science' refers to job postings where employers are urgently seeking candidates to fill data science positions as soon as possible. Data scientists analyze and interpret complex data to help organizations make informed decisions. These roles typically involve skills in statistics, programming, and machine learning. If a company is immediately hiring, it means the hiring process may move quickly, so candidates should be prepared to apply and interview promptly.

What are some common challenges new data scientists face when joining a team, and how can they overcome them?

New data scientists often face challenges such as understanding legacy code, adapting to existing data infrastructure, and aligning their work with business objectives. It's important to communicate regularly with team members and stakeholders to clarify project goals and expectations. Taking time to familiarize yourself with the company's data sources and tools, as well as actively seeking feedback, can help ease the transition and accelerate your impact on the team.

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 mathematics, statistics, and computer science, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, data visualization tools, and machine learning platforms is typically required. Strong problem-solving abilities, communication skills, and curiosity help distinguish top performers in this field. These skills are vital for extracting actionable insights from complex data sets and driving data-driven decision-making within organizations.

What is the difference between Immediately Hiring Data Science vs Immediately Hiring Data Analyst?

AspectImmediately Hiring Data ScienceImmediately Hiring Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in tech, finance, or healthcare industries; project-based tasksBusiness environments, often in finance, marketing, or operations; focus on reporting and data interpretation
Employer & Industry UsageUsed by companies seeking advanced data modeling and predictive analyticsUsed by organizations needing data reporting, dashboards, and basic analysis

Immediately Hiring Data Science roles typically require advanced technical skills and focus on predictive modeling and machine learning, while Data Analyst positions emphasize data reporting and visualization. Both roles are in high demand but serve different functions within organizations.

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Immediately Hiring Data Science jobs near you
Infographic showing various Immediately Hiring Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Columbia, MD • On-site

Red Alpha
Software Development • 51 - 200 employees
Learn more about Red Alphaexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.     

A day in the life:
You’ll likely start your day at a customer location near our Red Alpha offices, checking to see if there are any important items that have just come up. If not, you’ll move on to improving a dashboard or other data product that you’re responsible for, or perhaps produce a weekly output the customer is expecting. You’ll be using R or Python a lot, but also Git, Mongo, some commercial software and several other usual suspects. Once a week you’ll attend a team meeting (with 4 others) to prioritize things, and you’ll have a lot of interaction with the team otherwise, typically several times per day. You’ll need your sense of humor and need to be willing to leave your ego at the door.     
     
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:     
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.
These are important skills to have, but not necessarily mandatory:     
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React

The total package:
 
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!