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Senior Data Scientist

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Salary: 
100 - 130K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
Texas (USA), United States

Offer summary

Qualifications:

Bachelor's degree in relevant field, 3+ years of experience in data analytics, Advanced data wrangling skills, Proficiency in SQL, Python or similar.

Key responsabilities:

  • Lead data analysis and modeling projects
  • Advise on analytical project requirements
  • Evaluate data analysis techniques
  • Build scalable engines for analysis
MoneyGram International logo
MoneyGram International Financial Services Large https://moneygram.com
1001 - 5000 Employees
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Job description

This position is remote. While this is a remote flexible role it is required to reside in this country.

Who we are:

MoneyGram is a customer-centric, digital-first, cross-border money movement network. Through our strong culture of fintech innovation, we’re transforming the way consumers and businesses send and receive money in nearly every country around the world.

Thanks to our cutting-edge platform and strategic partnerships with some of the world’s leading brands, we are helping our millions of customers globally do more with their money through a comprehensive suite of digital and in-person products and services.

This is all made possible by our dedicated and diverse team of professionals around the world. If you’re ready for a career journey filled with exciting opportunities, come aboard and let’s drive the future of payments together at MoneyGram!

The Numbers:

  • We serve over 50 million people every year in over 200 countries and territories
  • We're a global team of over 2,000 from 36 countries around the world
  • We process over $200 billion annually with digital transactions now making up about 50% of our money transfer business
  • We’re known for our strong culture globally, demonstrated by:
  • "Top Workplaces USA” award winner (three consecutive years in a row!)
  • One of the “Best Places to Work” in the Middle East
  • Winner of many regional awards, such as “Friendly Workplace in Poland” and “Top Workplace in DFW” by The Dallas Morning News

What you will contribute:

The Senior Data Scientist will have functional expertise in data science and machine learning, leading the charge on innovative work, and guiding the organization on methodology and best practices. Working closely with our compliance, operations, information technology team, and the larger data teams, you’ll dive into a powerful data set to help us structure analysis and develop insights that will help to answer important questions. Your statistical, computer science and business domain expertise will have a significant influence on MoneyGram’s business.

What you’ll do:

  • As part of the data team, contribute to solving business problems by framing the problems, determining intended approach and statistical/quantitative methods, evaluating the analytical solutions to the problems, and deploying them to production.
  • Engage with partners to advise on analytical project requirements, discuss methodologies and negotiate deliverables.
  • Evaluate and deploy data analysis techniques in four key domains:
    • Informative and reporting, including visualization.
    • Discovery, including correlative and pattern recognition modeling techniques.
    • Extrapolative, including predictive modeling techniques.
    • Adaptive, including machine learning and adaptive modeling techniques.
  • Build scalable and high-performance engines that automate the above four classes of analysis where possible.
  • Rapidly test hypotheses by developing prototypes, running off-line experiments, and on-line statistical models and tests.
  • Analyze pre-existing models and algorithms; suggest how to improve the efficiency and effectiveness, to drive value to the organization.
  • Deliver a range of custom Data Science projects that may include Agent and Consumer Risk Modeling, Customer Lifetime Value, Customer Propensity Modeling, Image Recognition; The list goes on.
  • Learn, and practice to use new tools in an inspiring technical environment that combines both coding and statistical skills, knowledge about business, customer and fraud, and real-time data.

What we’re looking for:

  • 3+ years of experience in a data analytics capacity.
  • 3+ years of experience in technical model development and implementation, model validation, and/or model oversight.
  • Thorough understanding and experience working with big data technologies.
  • Advanced data wrangling skills. (e.g. high comfort level with consolidating and joining data, creating formulas, aggregating data, deduplication).
  • Extensive machine learning and modeling experience and have delivered multiple projects.
  • Experience with exploratory data analysis, and a conceptual understanding of time series analysis, clustering, or segmentation.
  • Hands-on experience using “big data technologies”.
  • Proficiency in one or more of the following: SQL, Python, Big Query ML, and AutoML.
  • Stakeholder management: ability to independently communicate technical and statistical concepts to non-practitioners and influence the application.

Education:

  • Bachelor's degree - Computer Science, Information Systems Management, Statistics, Operations Research, Business Administration, or other related fields.
  • Master’s degree in computer science, Information Systems Management, Statistics, Operations Research, Business Administration, or other related fields preferred.

Why you will love working here:

Your future is in your hands. When you start a career at MoneyGram, you join a talented and motivated team that builds the success of a trusted, global provider of innovative money transfer and payment services. Here are some reasons it is so easy to love your career with us!

  • Flexible Remote First Flexibility
  • Generous PTO
  • 13 Paid Holidays
  • Medical / Dental / Vision Insurance
  • Life, Disability and other benefits
  • 401K with competitive Employer Match
  • Community Service Days
  • Generous parental leave

Salary:

Anticipated Base Pay: $100k-$130k + participation in our annual bonus plan.

Disclaimer:

The salary/pay rate listed is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Primary Location

United States of America-Texas-Dallas

Work Locations

VIRTUAL EMPLOYEES

Job

Data Operations

Organization

Compliance

Full-time

Travel

No

Job Posting

Nov 14, 2024, 12:09:39 PM

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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