71 applicants

Company

MoneyGram International · 1 day ago

Senior Data Scientist

Dallas, TX

Full-time

Remote

Mid, Senior Level

$100K/yr - $130K/yr

3+ years exp

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalyticsTechnical Model DevelopmentBig Data TechnologiesMachine LearningSQLPythonData WranglingExploratory Data AnalysisStakeholder ManagementTime Series AnalysisClusteringSegmentationData VisualizationAutoMLBig Query ML

Required

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.

Bachelor's degree - Computer Science, Information Systems Management, Statistics, Operations Research, Business Administration, or other related fields.

Preferred

Master’s degree in computer science, Information Systems Management, Statistics, Operations Research, Business Administration, or other related fields.

Benefits

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

Company

MoneyGram International

Glassdoor

3.7

MoneyGram is a money transfer company that delivers financial solutions to securely and quickly send or receive money.

Founded in 1940

Dallas, Texas, USA

1,001-5,000 employees

http://www.moneygram.com/intl/

H1B Sponsorship

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2023 (14)

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2020 (19)