Data Scientist III
snap financeWest Valley City (UT)
About the role
Snap Finance is hiring aData 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 forbusiness performance , new products, andproduct 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 usingpredictive modelingapproaches.
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 aspower analysis , hypothesis testing , experimental design , hierarchical modeling, and
- Bayesian and frequentistmethods.3-5 yearsin 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.
- StrongSQLskills, including extracting data fromnon-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 fromdevelopment to production .Proven ability to deliver regular reporting for key stakeholder meetings, supportad hocanalysis requests, and write data-driven deep dives.
- Familiarity with concepts inconsumer finance , sales operations, andB2B marketingmethods.
- Expertise in one or more modeling and machine learning programming languages such asRorPython .TechnologiesSQLRPythonNeural NetLogistic Regression
- Decision TreesKNNRandom ForestLinearBoosted Regression TreesK-means
- Fuzzy C-means
- Hierarchical Clustering
- Mixture Modeling
- Map-ReduceHadoopHiveApache Spark
- Location and Work ModelWest 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 within90 daysof the start date
Benefits:
- Generous paid time off
- Competitive medical, dental & vision coverage 401K with company match for USCompany-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 OutExperience 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 SparkSnap 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this