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Manager Meta Data Science Jobs in Michigan (NOW HIRING)

Sprinklr

Senior Data Scientist

Three Rivers, MI

They will also serve as a Product Manager of the data science and AI model(s), capturing feedback from stakeholders driving a roadmap for the BI Team. This role requires ongoing collaboration with ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Design and implement robust, scalable data science and Machine Learning Operations (MLOps ... Advanced experience with LLMOps, MLOps, and AIOps, including managing the end-to-end lifecycle ...

GeoLogics Corporation

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

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 ...

DTE Energy

Expert Data Scientist

Detroit, MI

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 ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

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 ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

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 ...

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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.
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Manager Meta Data Science jobs near you
AI - Data Science Developer

AI - Data Science Developer

Northcross Group

Marquette, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

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

Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Competitive salary
  • Dental insurance
  • Employee discounts
  • Free food & snacks
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Vision insurance
  • Wellness resources

About Northcross Group
Northcross Group (NCG) is a professional services firm specializing in merger and acquisition integrations, system modernization, and compliance programs for clients in the private and public sectors. We provide industry-specific business solutions and understand the importance of providing the same level of care to the people who will use it and the underlying data. These fundamentalstechnology, data, and peopleare all a part of the equation for success. We work with clients in the banking/finance, healthcare, transportation, manufacturing, technology, and federal markets.
NCG develops tooling and automated platforms to support its professional services practices and is in the process of deploying a SaaS platform that will make some of its tooling available to broader markets. We have an internal development team that develops, maintains, and continuously improves our automation.
NCG operates a SaaS Platform for client and internal service delivery work. NCG has been developing AI tools focused on internal operations and is expanding those capabilities for client service support.
Opportunity Description
Northcross Group is seeking passionate, experienced AI and Data Science Developers to join our development team to build and integrate AI tools into our existing SaaS Platform. This is an exciting opportunity to join our efforts in creating business-centric tools to support internal service delivery, workforce skill development, and service delivery augmentation.
The position will be based out of NCGs Portland, Maine, or Marquette, Michigan offices; qualified remote candidates across the United States will also be considered.
Role Responsibilities
We are looking for a hands-on Developer with advanced technical skills to collaborate on data pruning and preparation, as well as AI tool design, building, training, and fine-tuning. Data preparation and tool development will be processed and developed within NCGs AI Risk Management Framework and system coding standards and testing processes.
  • Work with business case owners and other developers to define, build, test, and deploy AI-based tooling for integration with NCGs SaaS platform.
  • Ability to approach complex problems methodically and creatively.
  • Monitor and evaluate model performance and feedback channels to drive fine-tuning and retraining.
  • Evaluate business objectives to target the best set of tooling approaches, model type utilization and ongoing maintenance and currency.
  • Participate in all phases of the development lifecycle from initial specification through developing, testing, and launching.
  • Collaborate with the creative team to match visual design intent.
  • Engage with internal and external clients to ensure successful audience adoption.
  • Strong written and verbal communication skills to explain technical concepts to non-technical stakeholders.
  • Commitment to staying updated with the latest advancements in AI and machine learning.
  • Experience working in multidisciplinary teams and collaborating with other developers, data scientists and business analysts.

Qualifications
Technical:
  • Proficiency in Python, R, Java, or Equivalent
  • Familiarity with frameworks like TensorFlow, PyTorch, and Keras.
  • Strong understanding of linear algebra, calculus, probability, and statistics.
  • Experience with supervised, unsupervised, and reinforcement learning.
  • Knowledge of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
  • Experience with supervised, unsupervised, and reinforcement learning.
  • Understanding of NLP techniques like embedding, tokenization, stemming, lemmatization, and named entity recognition (NER).
  • Experience with structured and vector databases.

Domain Knowledge:
  • Experience working within regulated industries such as banking, finance, or cybersecurity, with an understanding of compliance and operational constraints on technical solutions.
  • Exposure to ETL pipeline design and data integration patterns in enterprise or financial services contexts
  • Ability to translate business requirements from compliance, risk, or operations teams into data and model specifications
  • Understanding of data governance, audit trails, and model explainability as they relate to regulated use cases.
  • Experience working alongside business analysts, compliance officers, or subject matter experts to validate AI outputs against real-world business rules.

Experience:
  • 2+ years of development experience or business equivalent.
  • Hands-on experience with AI projects, either through work, internships, or personal projects.
  • Industry-specific experience in technology, cybersecurity, finance, or healthcare.

To Apply
Please apply through the university portal or send a resume and cover letter to careers@northcrossgroup.com

Qualified applicants must undergo a successful background check. NCG is an equal opportunity employer.