1

Meta Data Science Jobs in Indiana (NOW HIRING)

Meta Data Science information

What are typical daily responsibilities for someone in a Meta Data Science role?

In a Meta Data Science role, your daily tasks often involve analyzing large datasets to extract insights, developing and validating predictive models, and communicating findings to diverse teams. You will work closely with product managers, engineers, and other data professionals to design experiments and optimize business strategies. The role frequently requires presenting complex analyses in approachable terms and iterating on data solutions in response to feedback. You may also contribute to the development of internal data tools or pipelines, ensuring data quality and accessibility across the organization.

What is a Meta Data Science job?

A Meta Data Science job involves using data analysis, machine learning, and statistical techniques to drive insights and decision-making at Meta. Data scientists in this role work with large-scale datasets to optimize products, improve user experiences, and develop predictive models. They collaborate with engineers, product managers, and researchers to solve complex business problems. The role requires expertise in programming, data visualization, and experimental design to extract meaningful information from data.

Does Meta hire data scientists?

Yes, Meta regularly hires data scientists to analyze user data, improve products, and develop machine learning models. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with data analysis tools and large datasets.

What are the key skills and qualifications needed to thrive in the Meta Data Science position, and why are they important?

To excel in Meta Data Science, a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field, is essential. Proficiency in programming languages like Python or R, experience with big data platforms (such as Hadoop or Spark), and knowledge of data visualization tools are typically required, as well as relevant certifications like those from Google, AWS, or Microsoft. Exceptional problem-solving, communication, and teamwork skills set top candidates apart in this collaborative and data-driven environment. These competencies enable professionals to generate actionable insights, build scalable models, and effectively communicate findings to both technical and non-technical stakeholders.

How much does a meta data scientist make?

A data scientist at Meta typically earns between $100,000 and $160,000 annually, with senior roles exceeding $200,000. Compensation varies based on experience, location, and skills in data analysis, machine learning, and programming tools like Python or R.

Is 40 too late for data science?

Meta Data Science roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Age should not be a barrier if you have relevant expertise and stay current with industry tools and techniques.

What does a Data Scientist at Meta do exactly?

A Data Scientist at Meta analyzes large datasets to identify patterns, develop models, and generate insights that inform product development and business strategies. They use statistical techniques, machine learning tools, and programming languages like Python or R to solve complex problems and improve user experience. Strong analytical skills and knowledge of data visualization are essential in this role.
What are the most commonly searched types of Meta Data Science jobs in Indiana? The most popular types of Meta Data Science jobs in Indiana are:
Infographic showing various Meta Data Science job openings in Indiana as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Quality Lead

Full-time

Posted 14 days ago


Job description

Company Description

Reach me at chaitu AT yochanait DOT com for more information 

Job Description

Job Title: Data Quality Lead

Job Location: Columbus IN

Project Duration: 6 months

GC/ USC/ H1B

Mandatory Skills

Minimum of 4 years' hands-on expertise with the data modeling and data management

1-year experience with Microsoft Data Quality Services

Exposure to Hadoop (Hortonworks preferable) stack (e.g. HDFS, MapReduce, Spark, Pig, Hive, Hbase, Flume etc.)

Minimum of 5 years of experience in database development and SQL

Minimum 2 years with Tableau

Minimum 2 years with R, Python, or Spark

Desired Skills

Technical understanding of Data Science

Hadoop and Analytics experience (MapReduce/R)

Job Description:

Implementation of Data Quality solutions consisting of meta data management, data quality, data validation, and data governance solutions

Deliver solutions via the Agile development method

Working with architects and providing implementation details to team members

Production of quality deliverables in a timely manner

Sharing knowledge and experience with various groups within an organization

Responsibilities:

Ability to communicate clearly with customers

Ability to independently analyze, diagnose, troubleshoot, and drive issues to resolution with minimal supervision

Ability to work independently within a large team environment

Ability to articulate and share knowledge as it pertains to data governance applications and architecture

Experience working in a team setting and brainstorming design for applications

Ability to quickly learn and show competence in new Advanced Analytics and Big Data technologies

Consulting experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.