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Predictive Analytics Machine Learning Software Jobs

ShiftCode Analytics

Sr. Data Analyst : Con Edison

Manhattan, NY · On-site

$94.80K - $119.60K/yr

... predictive analytics efforts. Required Skills/Experience * Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. * Strong ...

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Predictive Analytics Machine Learning Software information

What are the key skills and qualifications needed to thrive as a Predictive Analytics Machine Learning Software Engineer, and why are they important?

To thrive in predictive analytics and machine learning software roles, you need a strong background in statistics, programming (often Python or R), and machine learning concepts, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, and cloud platforms (e.g., AWS, Azure) as well as certifications in data science or ML are highly valued. Problem-solving, analytical thinking, and effective communication skills help professionals interpret data and collaborate across teams. These skills and tools are crucial for building accurate models, deriving actionable insights, and driving business value from data.

What are some common challenges faced by professionals working in predictive analytics machine learning software roles?

Professionals in predictive analytics machine learning software roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting appropriate algorithms for specific business problems. Additionally, they must effectively communicate technical findings to non-technical stakeholders and work collaboratively with cross-functional teams, including data engineers and business analysts. Staying updated with evolving technologies and best practices is also crucial for long-term success in this fast-paced field.

What is predictive analytics machine learning software?

Predictive analytics machine learning software refers to specialized tools and platforms that use statistical algorithms and machine learning techniques to analyze historical data and make predictions about future outcomes. These software solutions help organizations identify patterns, trends, and relationships within their data, allowing them to make data-driven decisions and forecasts. They are commonly used in fields such as finance, healthcare, marketing, and supply chain management to optimize processes and improve business performance.
Manager- Applied Sciences / Machine Learning

Manager- Applied Sciences / Machine Learning

Microsoft

Redmond, WA • On-site

Full-time

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

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

47th of 185 rated software companies

Job description

Overview
The Microsoft Content Product team is seeking a Manager-Applied Sciences/Machine Learning (ML) to lead our Core Recommendation and Content Generation team. This is an exciting opportunity to shape the future of content services at Microsoft. Our vision is to enable billions of users worldwide to discover meaningful content and engage in conversations with friends, family, and colleagues.
With nearly 1 billion monthly active users on Windows, and hundreds of millions more across Outlook, Teams, Edge, and Bing-as well as solid third-party partnerships-this role offers a unique opportunity to drive impactful, large-scale user engagement globally.
We are looking for a leader who can combine deep expertise in LLMs and NLP with proven experience in people leadership. This role is ideal for someone who wants to guide teams building state-of-the-art AI systems, influence product direction, and deliver scalable solutions that improve how users discover and interact with content across Microsoft platforms.
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
  • Lead and grow a team of Applied Scientists and Machine Learning Engineers, including hiring, coaching, and developing talent across Applied Science and engineering.
  • Define technical vision and strategy for recommendation systems, Artificial Intelligence Generated Content (AIGC), and LLM-powered content generation.
  • Drive end-to-end execution across multiple initiatives, from ideation and design to production and iteration.
  • Oversee system architecture and scalability, ensuring robust, efficient, and high-quality ML solutions in production.
  • Partner cross-functionally with product, engineering, and leadership teams to align on priorities and deliver customer impact.
  • Champion innovation in AIGC applications, ranking, and recommendation algorithms.
  • Mentor and elevate the team, fostering a culture of technical excellence, collaboration, and continuous learning.
  • Communicate progress, insights, and strategy to senior leadership and stakeholders.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 3+ years of people management experience.

Preferred Qualifications:
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 8+ years of industry experience in software engineering and/or machine learning, with prior experience leading teams or technical leadership roles.
  • Solid hands-on background in machine learning, including LLMs, NLP, or recommendation systems.
  • Proven track record of delivering large-scale, production-grade ML systems.
  • Experience leading or owning critical projects in recommendation systems or AIGC scenarios.
  • Proficiency in programming languages such as C/C++, C#, Java, and/or Python.
  • Demonstrated experience managing and growing ML teams, including performance management and career development.
  • Solid expertise in deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with LLM fine-tuning, evaluation, and real-world product deployment.
  • Experience leading projects through full product lifecycle, from concept to launch and iteration.
  • Background in distributed systems and large-scale data processing.
  • Solid foundation in data structures, algorithms, and system design.
  • Experience with large-scale data analytics tools such as Spark.

#MicrosoftAI #machinelearning #ai #llm #aiagent #MAICopilotDiscover
Applied Sciences M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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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