Data Jobs in West Valley City, UT

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Data Scientist III

Snap Finance West Valley City, UT

West Valley City, UT

Today

Full time Artificial Intelligence Big Data Business Analytics

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Job Description

Snap Finance is hiring a Data Scientist III (hybrid) to apply statistics and machine learning to consumer finance problems and support Sales and B2B Marketing.

Responsibilities

Design and implement experiments and evaluation processes for business performance, new products, and product features.
Run analyses that incorporate project design and data collection; summarize findings and present results clearly to stakeholders.
Compile relevant datasets, perform multidimensional aggregation, and conduct profile analysis to assess business impact.
Work with large volumes of transaction-level data to produce actionable insights efficiently.
Partner with stakeholders to understand business questions; build methodologies to mine and analyze data and deliver recommendations.
Stay current with emerging technology trends.
Mine, model, and analyze large datasets using predictive modeling approaches.
Build and validate statistical models; provide analytic support and develop new criteria and/or strategies.

Requirements

Ability to produce robust statistical analyses, including examples such as power analysis, hypothesis testing, experimental design, hierarchical modeling, and Bayesian and frequentist methods.
3-5 years in a data science role, or equivalent skills demonstrated through aligned work in another role.
M.S. in quantitative fields, such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or a related discipline.
B.S. in related fields will be considered if the skill set and experience are robust.
Strong SQL skills, including extracting data from non-relational data sources.
Advanced professional experience with:
- Classification: Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest
- Regression: Linear, Nonlinear, Boosted Regression Trees
- Clustering: K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling
Demonstrated ability to take data science projects from development to production.
Proven ability to deliver regular reporting for key stakeholder meetings, support ad hoc analysis requests, and write data-driven deep dives.
Familiarity with concepts in consumer finance, sales operations, and B2B marketing methods.
Expertise in one or more modeling and machine learning programming languages such as R or Python.

Technologies

SQL
R
Python
Neural Net
Logistic Regression
Decision Trees
KNN
Random Forest
Linear
Boosted Regression Trees
K-means
Fuzzy C-means
Hierarchical Clustering
Mixture Modeling
Map-Reduce
Hadoop
Hive
Apache Spark

Location and Work Model

West Valley City, UT (hybrid)
Hybrid work model based out of the Salt Lake City office
Candidates should currently reside in the Salt Lake City area or be willing to relocate within 90 days of the start date

Benefits

Generous paid time off
Competitive medical, dental & vision coverage
401K with company match for US
Company-paid life insurance
Company-paid short-term and long-term disability
Access to mental health and wellness resources
Company-paid volunteer time to do good in your community
Legal coverage and other supplemental options
A value-based culture where growth opportunities are endless

What Would Make You Stand Out

Experience with a variety of data structures and databases (SQL, no-SQL, graph, etc.)
Knowledge about Big Data related techniques such as Map-Reduce, Hadoop, Hive, and Apache Spark

Snap values diversity, and all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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