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Junior Applied Statistics Jobs (NOW HIRING)

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

Mentor junior scientists and engineers, fostering a culture of technical excellence and knowledge ... OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

... • Mentor junior scientists and engineers, fostering a culture of technical excellence and ... Required : • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

... skills to more junior Data Scientists. You will need to be proficient with API interaction ... Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

... skills to more junior Data Scientists. You will need to be proficient with API interaction ... Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics ...

Caterpillar Inc.

Lead Data Scientist

Irving, TX · On-site

... Jr. Data Engineers. • Communicate and Present the Technical Deliverables to stakeholders and ... Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

... skills to more junior Data Scientists. You will need to be proficient with API interaction ... Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics ...

Caterpillar

Lead Data Scientist

Irving, TX · On-site

Plan technical deliverables and definition of done for each sprint for the Jr. Data Engineers ... Typically Master's degree in Applied Statistics, Data Science, Business Analytics, Business ...

Boeing

Senior/Lead Data Scientist

Saint Louis, MO · On-site

Mentors and develops junior data scientists; actively contributes to knowledge sharing, technical ... applied statistics, mathematics, engineering, or related field. * 10+ years of Data Science ...

ARA

Junior Data Scientist

Fort Belvoir, VA · On-site

The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA ... Support development of analytics, machine learning and statistical models, and exploratory data ...

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How much do junior applied statistics jobs pay per year?

As of May 29, 2026, the average yearly pay for junior applied statistics in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Junior Applied Statistics jobs? Cities with the most Junior Applied Statistics job openings:
What are the most commonly searched types of Applied Statistics jobs? The most popular types of Applied Statistics jobs are:
What states have the most Junior Applied Statistics jobs? States with the most job openings for Junior Applied Statistics jobs include:
Junior Applied Statistics jobs near you
Infographic showing various Junior Applied Statistics job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.
Principal Applied Scientist

Principal Applied Scientist

Microsoft

Redmond, WA • On-site

Full-time

Posted 16 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

47th of 183 rated software companies

Job description

Overview
The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a passionate and experienced applied scientist architect who wants to build the next generation of recommendations using advanced AI technologies, especially large language models , at scale. We are responsible for content ranking and reranking to deliver most engaging and high quality recommendation results. Our content include news feeds, interest feeds, video feeds, AIGC feeds, etc. We are seeking a Principal Applied Scientist Architect to integrate GenAI and agentic systems into end-to-end ranking stack. This role is ideal for a senior technical leader who combines deep expertise in large-scale recommendation systems, large language models and agentic systems, with the architectural vision to drive cross-team alignment, accelerate innovation, and deliver measurable impact across Microsoft surfaces. You will partner closely with engineering, product, and applied science teams to design, optimize, and scale intelligent ranking systems that power personalized content experiences for millions of users.
Copilot Discover sits at the intersection of content, signals, and user intent. Our ambition is to make it a durable, strategic layer that powers intelligent, personalized, and trusted discovery experiences across a broad array of surfaces where Microsoft engages consumers in their journeys. If you are passionate about building high-scale, AI-driven systems that combine solid architectural rigor with meaningful user value, this is the role for you.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Design & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
  • Architect the next generation of ranking, reranking, and retrieval systems for large-scale content recommendation scenarios, for example generative recommendations, agentic feeds, etc.
  • Lead the design of robust, efficient, and extensible ML/DL models pipelines, including feature engineering, model training, evaluation, and online inference. Establish technical standards and best practices for experimentation, model governance, and system reliability.
  • Drive innovation in model architectures (e.g., deep learning, LLM-enhanced ranking, multi-task learning, contextual bandits, reinforcement learning).
  • Partner with engineering, product, and platform teams to align roadmaps, integrate new capabilities, and ensure seamless end-to-end delivery.
  • Invest in others' growth and mentor team members, fostering a culture of scientific rigor, innovation, and operational excellence.
  • Regularly communicate team progress internally and evangelize progress and opportunities to a wider audience including management and leadership.
  • Mentor junior scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.

Preferred Qualifications:
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 8+ years of experiences in applied science, deep learning, or related fields, with a solid track record of delivering production ML systems at scale.
  • Expertise in recommendation systems, ranking models, search relevance, or personalization.
  • Experience applying LLM techniques or Recommendation system.
  • Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow), data processing systems, and cloud-scale infrastructure.
  • Demonstrated ability to lead cross-functional initiatives and influence technical direction across multiple teams.
  • Solid communication skills with the ability to articulate complex technical concepts to diverse audiences.
  • Experience with LLM-based ranking, agentic AI, or generative AI applied to recommendation or personalization.
  • Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, KDD, WWW, RecSys).
  • Solid architectural skills with experience designing large-scale ML systems, distributed pipelines, and high-throughput online services.
  • Experience working through full product cycles from initial design to final product delivery.
  • Experience developing and designing backgrounds in multi-tiered distributed services.
  • Experience with data structures, algorithms, asynchronous programming, and data processing. Knowledge and experience in large scale data analytics, such as Spark.
  • Experience working with heterogeneous signals (behavioral, contextual, semantic embeddings) and multi-objective optimization.
  • Experience developing end to end ML/DL systems.

#MicrosoftAI #MAICopilotDiscover
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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