Data Scientist @ Security Benefit | Jobright.ai
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Security Benefit · 5 days ago

Data Scientist

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H1B Sponsorship

Insider Connection @Security Benefit

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Responsibilities

Extract, clean, and analyze external and internal data using statistical methods and machine learning algorithms.
Build predictive models to uncover meaningful patterns in data.
Evaluate model performance using various metrics and techniques to ensure accuracy and generalization.
Develop innovative strategies for data-derived insights by working with various units to design and implement advanced data analytics.
Take initiative and ownership of projects from start to finish.

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.

Machine LearningSupervised LearningUnsupervised LearningAlgorithmsLinear ModelsDecision TreesEnsemblesNeural NetworksConvolutional Neural NetworksRecurrent Neural NetworksTransformersProgrammingScripting LanguagesRPythonNumPyPandasSQLPySparkCloud Compute InfrastructureAWSSnowflakeAzureGCPData TranslationData ScienceStatistical MethodsQuantitative ResearchQualitative ResearchStatistical Analysis

Required

Deep foundational knowledge of Machine Learning approaches (both Supervised and Unsupervised Learning) and algorithms from classical approaches such as Linear models, Decision Trees and Ensembles, to modern neural networks such as Convolutional Neural Networks, Recurrent Neural Networks and Transformers.
Strong experience in programming/scripting languages, libraries, and statistical software (such as R, Python, NumPy, Pandas, SQL, or PySpark) for managing ML models.
Experience taking a consultative approach to project delivery.
Familiarity with modern cloud compute infrastructure (AWS/Snowflake/Azure/GCP)
Master's Degree in a Quantitative degree (Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities).
5+ years’ experience translating business problems into data problems with different stakeholders or an equivalent combination of education and experience. Relevant training/experience in data science and/or statistical methods.
Hands-on experience in quantitative and qualitative research, statistical analysis, reporting, and/or data analysis of large, longitudinal data sets.
Ability to work with end users, Data and Business Analysts and all levels of the organization including senior leadership.
Demonstrated experience querying and processing large data sets.
Demonstrated experience in statistical approaches to build predictive models (time series, clustering, neural networks)
Demonstrated ability to tell stories with data using data visualization software or other reporting/BI tools (such as Qlik, Tableau, PowerBI, etc.).
Demonstrated testing approaches for statistical and machine-learning analysis methods, software, and data sources for continual improvement of quantitative solutions.
Demonstrated experience working with different file formats: CSV, JSON, Avro, Parquet etc., and data compression techniques

Preferred

Familiarity with the operational and business needs of Life Insurance, Mutual Funds and Annuities preferred.

Benefits

Annual incentive bonus
33 days of paid time off
Paid holidays
Paid parental leave
Medical, Dental & Vision Insurance
401k with company match
Profit Sharing & Savings Plan
Short-term and long-term disability insurance
Flexible spending account
Life insurance
Educational Assistance
Associate Assistance Programs
Career growth

Company

Security Benefit

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Security Benefit is a financial service provider company.

H1B Sponsorship

Security Benefit has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (16)
2022 (12)
2021 (11)
2020 (9)

Funding

Current Stage
Late Stage

Leadership Team

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Doug Wolff
CEO & President
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Michael Kiley
Chairman, Trustee, Chief Executive Officer & President
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Company data provided by crunchbase
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