1

Manager Meta Data Science Jobs in Michigan (NOW HIRING)

Using our customers' data and advanced data science, we are building products that allow our ... You are comfortable using tools like Jira to manage tasks within a product development sprint cycle.

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Change management to integrate tech transfer digital applications into product teams * Development ...

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

Master's degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations ... managed machine learning services. 3. A/B testing design, implementation, and analysis, and ...

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Advanced project management skills * Experience with publications or conference presentations in a ...

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Advanced project management skills * Experience with publications or conference presentations in a ...

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Advanced project management skills * Experience with publications or conference presentations in a ...

Bachelor's in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid) * Responsible for designing, building ...

next page

Showing results 1-20

Manager Meta Data Science information

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. For a Manager of Data Science, understanding this principle helps prioritize features, models, or data sources that have the most significant impact on outcomes, enabling more efficient resource allocation and decision-making.

How much do meta data scientist managers make?

Meta Data Science Manager salaries typically range from $150,000 to $220,000 annually, depending on experience, location, and company size. They often receive additional compensation such as bonuses and stock options, and require strong leadership, technical skills, and experience managing data science teams.

What does a Manager of Meta Data Science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

How does a Manager Meta Data Science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

Can data scientists make $300k?

Data scientists, including those in managerial roles like Manager of Data Science, can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and in high-paying industries such as finance or technology. Achieving this level often requires a combination of technical expertise, leadership abilities, and sometimes stock options or bonuses.

Is 40 too late for data science?

For a Manager in Data Science, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and staying current with industry trends, regardless of age.

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

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.
What are popular job titles related to Manager Meta Data Science jobs in Michigan? For Manager Meta Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Manager Meta Data Science jobs in Michigan look for? The top searched job categories for Manager Meta Data Science jobs in Michigan are:
What cities in Michigan are hiring for Manager Meta Data Science jobs? Cities in Michigan with the most Manager Meta Data Science job openings:

Data Scientist

Cavallo Solutions

Grand Rapids, MI • On-site

Full-time

Re-posted 2 days ago


Job description

At Cavallo, we know the importance of being data-driven. Using our customers' data and advanced data science, we are building products that allow our customers to flourish and thrive. Data is a pillar of our core values; it fuels more informed and efficient decision-making and empowers us to build the tools that help our customers to run a more profitable business.


We are seeking a Data Scientist to join our Product Development Data Science Team. In this role, you will be an integral part of the engineering cycle, building scalable predictive and statistical models that are embedded directly into our software.


Key Responsibilities:


  • End-to-End Product Intelligence: Own the full data science lifecycle-from navigating production databases and transforming raw signals into robust features, to collaborating on the deployment of machine learning models that power intelligent product features.
  • Strategic Partnership: Partner with Product Teams to translate business goals into data-driven strategies that enhance product value.
  • Profit Science: Analyze complex business problems in the distribution space and use mathematical frameworks/ AI/ ML to deliver models that identify margin opportunities and drive customer profitability.
  • Operationalizing Insights: Bridge the gap between complex model outputs and daily business operations by ensuring data findings are integrated, actionable, and "human-readable" for our customers.
  • Stakeholder Communication: Translate complex statistical findings into clear, visual narratives and actionable insights that enable stakeholders to make confident, data-backed decisions.


Qualifications for Success:


  • Experience: 2-4+ years of experience in data science, ideally within a software development or SaaS environment.
  • Education: Bachelor's degree in a quantitative field.
  • Programming & Modeling: Advanced knowledge of Python and a strong foundation in mathematics, statistical analysis, and data mining.
  • Data Engineering & Navigation: Proficiency in SQL with proven experience extracting and transforming data directly from production databases. You are comfortable navigating complex schemas to prepare and structure data for advanced modeling.
  • Machine Learning Frameworks: Possess deep expertise in modern AI/Machine Learning concepts and pattern recognition. Demonstrate mastery of Pandas and Scikit-learn, paired with a comprehensive grasp of algorithms such as LightGBM or XGBoost and other predictive modeling techniques.
  • Product & Development Collaboration: Proficiency with Git for version control and experience working within an Agile/Scrum framework. You are comfortable using tools like Jira to manage tasks within a product development sprint cycle.
  • Extra qualifications to help you stand out: Familiarity with LLMs and RAG techniques to build natural-language interfaces for complex data insights.
  • A natural curiosity for "connecting the dots" and a passion for creative problem-solving.
  • A strong sense of personal ownership, accountability, and attention to detail.
  • Self-motivated and eager to learn, share knowledge, and grow within a collaborative team.


Why Cavallo?


  • #PeopleFirst: We are a #PeopleFirst organization that believes in instilling excellence in the people who make up our team.
  • Legacy of Innovation: We've been helping manufacturing and distribution companies increase productivity since 2003, evolving from "clipboards and legal pads" to streamlined enterprise software.
  • Measurable Value: Join a leadership team dedicated to creating enormous and measurable value for our customers.


About Cavallo


Cavallo is at the forefront of developing cutting-edge profit technologies for product-centric brands and wholesale distributors. . We're seeking the self-motivated, the hard-working, the problem solvers, and the dedicated to join our team of experts. We're focused on helping businesses grow, expand, or reshape how they do things by approaching each and every problem with energy, creativity, and confidence. Ingenuity, adaptation, and evolution are at the core for us at Cavallo.


Our Grand Rapids-based headquarters is focused on helping change the way organizations do business through our software products, customizations, expertise, and support. Our enterprise software solutions work with leading business applications, including multiple leading ERP platforms, and integrate with a wide range of apps and other technologies. Cavallo has been in the business of helping manufacturing and distribution companies increase productivity and efficiency since 2003. We got our start when a small business owner tasked a software developer with transforming a pile of clipboards and legal pads into a streamlined, efficient inventory management system. We have been sharing ideas and innovating ever since.


Join Cavallo and help shape the next generation of data-driven enterprise solutions. If you are a visionary leader passionate about innovation, execution, and scaling world-class products, we'd love to hear from you!


Requirements:

No need for visa sponsorship