1

Manager Meta Data Science Jobs in Michigan (NOW HIRING)

Data Lake - Manager Are you looking to apply cyber analytics, artificial intelligence, and security ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Ability to translate data science concepts into practical, production-ready solutions. * Comfortable collaborating with management, engineering, and cross-functional teams to bring analytics into ...

Ability to translate data science concepts into practical, production-ready solutions. * Comfortable collaborating with management, engineering, and cross-functional teams to bring analytics into ...

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.

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.

next page

Showing results 1-20

Manager Meta Data Science information

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.

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.

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.
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:
Manager - Data Science / Data Lake

Manager - Data Science / Data Lake

Deloitte

Detroit, MI • On-site

Full-time

Posted yesterday


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Manager for their Data Science/Data Lake team. In this role, you will support the design and modernization of cyber data analytics and security operations, applying artificial intelligence and machine learning to enhance cybersecurity capabilities for clients.
Responsibilities:
• Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
• Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
• Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
• Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
• Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members
Qualifications:
Required:
• 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
• 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
• 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
• Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
• Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
• Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
• Experience parsing and normalizing cyber or information technology telemetry datasets
• Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
• Experience with Apache Kafka, Storm, or Spark
• Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom