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Manager Meta Data Science Jobs in Ohio (NOW HIRING)

Quadax

Data Science Analyst

Middleburg Heights, OH · On-site

You'll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You'll leverage data ...

Further

Data Science Analyst

Cleveland, OH

We are looking for a Data Science Analyst who can not just report on performance, but also ... Ability to manage client expectations, present to non-technical audiences, and pivot quickly based ...

Metasys Technologies

Data Entry

Cleveland, OH · On-site

$16.50 - $22/hr

... management * Excellent customer service skills Responsibilities * Perform high-speed manual key ... Manually enter meta-data index information from digital documents * Conduct quality control of ...

GRVTY

Data Science - Senior

Dayton, OH

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 ...

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 ...

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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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 the most commonly searched types of Meta Data Science jobs in Ohio? The most popular types of Meta Data Science jobs in Ohio are:
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What cities in Ohio are hiring for Manager Meta Data Science jobs? Cities in Ohio with the most Manager Meta Data Science job openings:
Manager Meta Data Science jobs near you
Data Science Analyst

Data Science Analyst

Quadax

Middleburg Heights, OH • On-site

Full-time

Re-posted 16 days ago

Quadax rating

7.0

Company rating: 7.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

164th of 209 rated software companies

Job description

Summary:
Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You'll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You'll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You'll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.
Responsibilities:
  • Ability to analyze complex data sets and create actionable insights
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
  • Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
  • Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives
  • Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided
  • Facilitate the design and development of product features
  • Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements
  • Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented
  • Present on-time delivery of requirements and user stories/specifications
  • Support the creation and maintenance of project documentation
  • Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows

Qualifications:
  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working in Data Science
  • Professional experience with, and more than a basic understanding of AI technology
  • Proficient in building process flow diagrams and data mapping
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Extensive experience working in a BI environment and familiarity with data warehouses
  • Extensive experience in gathering and documenting business requirements
  • Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
  • Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
  • Excellent written and verbal communication skills

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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