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Manager Meta Data Science Jobs in Ohio (NOW HIRING)

84.51°

Director Data Science (P2415)

Cincinnati, OH · On-site

Enable & manage a team of data scientists in delivering strategic objectives and work plans while ... developing their individual technical and business skills QUALIFICATIONS, SKILLS, AND EXPERIENCE ...

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Bachelor's degree or higher in Mathematics, Statistics, Data Science, Operations Research, or ... meta-model development * Experience working with statistical software such as JMP and MATLAB

GRVTY

Data Science - Senior

Dayton, OH · On-site

Build and manage datasets for training and evaluation in collaboration with subject matter experts ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Bachelor's degree or higher in Mathematics, Statistics, Data Science, Operations Research, or ... meta-model development * Experience working with statistical software such as JMP and MATLAB

GRVTY

Data Science - Senior

Dayton, OH · On-site

Build and manage datasets for training and evaluation in collaboration with subject matter experts ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

Sequoia Financial Group Llc

Data Scientist

Dublin, OH · On-site

... management services. At Sequoia, we exist with a singular purpose: to enrich lives. Our values ... Translate business requirements into data science problems and design appropriate modeling ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

... Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging ...

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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

Director Data Science (P2415)

84.51°

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
DIRECTOR, DATA SCIENCE - SUPPLY CHAIN, OPERATIONS, REPLENISHMENT
Cincinnati, OH
Chicago, IL
SUMMARY:
The Supply Chain, Operations, and Replenishment (SCORe) team is responsible for creating for cutting edge supply chain and operations sciences to meet Kroger's need now and in the future, ensuring that we deliver value for our Kroger stakeholders and the enterprise. This role will lead the supply chain data scientists and partner heavily with our Product and Engineering community to develop the best solutions for our stakeholders within our supply chain workstreams.
RESPONSIBILITIES:
  • Influence and partner with SCORe team leaders to set the vision and future road map by developing immediate and long-term strategic plans in supply chain and operations
  • Partner with the other SCORe Tech DSR Leads to develop and oversee innovation/capability roadmaps to support strategic supply chainplans
  • Bring transformational, innovative thinking to the SCORe team, creating and/or improving ways of working, products, sciences, tools and initiatives
  • Develop and manage stakeholder relationships within 84.51° and Kroger to drive better decisions across the Supply Chain space
  • Understand business priorities and project value to make prioritization decisions
  • Partner with cross-functional leaders to ensure shared goals that enable delivery of science services and insights at scale
  • Enable & manage a team of data scientists in delivering strategic objectives and work plans while developing their individual technical and business skills

QUALIFICATIONS, SKILLS, AND EXPERIENCE:
  • 7+ years developing analytical solutions using advanced AI, Machine learning, and optimization methods
  • 7+ years querying data from relational databases using SQL/Python to develop analytical solutions
  • 7+ years with data wrangling, data cleaning and prep, problem framing, and analysis
  • Experience with managing, recruiting, training, developing, coaching, and/or inspiring highly technical associates
  • Proficient in technology stack (Azure, Databricks, Python, Spark)
  • Experience applying data science capabilities to supply chain and operations business problems
  • Experience with developing, coaching, and/or inspiring highly technical associates
  • Ability to work in a highly collaborative cross functional environment
  • Comfort with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes
  • Excellent interpersonal, collaboration, and communication skills
  • Strong business acumen
  • Strong academic background in mathematics, statistics, computer science, economics, or similar discipline
  • Strong analytical, creative problem-solving and decision-making skills
  • Ability to create computationally efficient solutions
  • Natural curiosity and passion around data, analysis and insights
  • Welcomes and embraces change
  • Ability to work fast yet accurately
  • An openness and willingness to try new things and to fail

An ideal candidate has a strong track record of:
  • Building stakeholder relationships at a senior level
  • Internal or External client exposure and strong understanding of client's business needs
  • Ability to present technical solutions to non-technical audience
  • Managing, recruiting, training, developing, coaching, inspiring and/or leading others
  • Championing an inclusive culture and embracing 84.51° D&I initiatives
  • Creating and/or improving large-scale processes or initiatives
  • Leading Data Scientists through product life cycle and projects
  • Independently creating solutions and solving open-ended and/or complex problems, analyzing both successes and failures
  • Collaborating across all functions of 84.51°
  • Providing direct, constructive feedback to peers and junior data scientists
  • Making data-driven decisions and priority calls
  • Clearly articulating their point-of-view
  • Comfortability with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes

#LI-SSS
Pay Transparency and Benefits
  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range
$162,000-$262,000 USD

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