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Security Benefit Business Services / Everly Life
Topeka, KS | Full Time
$93k-115k (estimate)
11 Months Ago
Security Benefit Business Services / Everly Life
Topeka, KS | Full Time
$93k-115k (estimate)
11 Months Ago
CoreFirst Bank Trust
Topeka, KS | Full Time
$88k-111k (estimate)
1 Month Ago
Data Scientist
$93k-115k (estimate)
Full Time 11 Months Ago
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Security Benefit Business Services / Everly Life is Hiring a Data Scientist Near Topeka, KS

Security Benefit (SB), a leader in the retirement market, is looking for an experienced, detail-oriented Data Scientist to join the Data Office. SB associates are working a hybrid schedule with both remote and on-site work. This position may be based in Topeka, KS, Overland Park, Kansas, or remote for the right candidate. Who Are We?Through a combination of product innovation, exceptional investment management, and a unique distribution strategy, Security Benefit has become a leader in the U.S. retirement industry. For more than five decades, we’ve focused our expertise solely on this market, providing a broad suite of annuities and mutual fund programs to help customers from coast to coast align their assets with their aspirations. What Does the Job Look Like? The Data Scientist will apply technical, analytical, and programming skills to extract, clean, and analyze external and internal data using statistical methods and machine learning algorithms to build predictive models to uncover meaningful patterns in our data. You will leverage a broad set of technologies to evaluate the performance of models using various metrics and techniques to ensure their accuracy and generalization to deliver transformational insights from data. In collaboration with stakeholders, you will help develop innovative strategies for data-derived insights by working with various units to design and implement advanced data analytics to solve business problems through fact-based and scientific analytics. The ideal candidate will possess strong proficiency in data science tools and techniques and will thrive in an independent work environment, taking initiative and ownership of projects from start to finish. Who Are You?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. Familiarity with the operational and business needs of Life Insurance, Mutual Funds and Annuities preferred.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 What Can Security Benefit Offer You?Security Benefit offers a competitive salary and as a full-time employee you are eligible for our robust benefits package including: Employees are eligible for an annual incentive bonus designed to reward for performance.33 days of paid time off for PTO, paid holidays, days of Significance, and a Volunteer DayPaid parental leave eligible after one year of serviceMedical, Dental & Vision Insurance401k with company matchProfit Sharing & Savings PlanShort-term and long-term disability insuranceFlexible spending accountLife insuranceEducational AssistanceAssociate Assistance Programs Career growth and more! Consider joining our progressive team in our nationally recognized company. Visit the career section of our website at www.securitybenefit.com/careers to apply and submit your resume. EOE

Job Summary

JOB TYPE

Full Time

SALARY

$93k-115k (estimate)

POST DATE

07/08/2023

EXPIRATION DATE

07/31/2024

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The job skills required for Data Scientist include Data Science, Machine Learning, Insight, SQL, Data Mining, Tableau, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

12/22/2021: Dallas, TX

Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

02/17/2022: Lompoc, CA

A data scientist develops software to structure the raw data.

02/16/2022: Lansing, MI

Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

02/12/2022: San Diego, CA

Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

02/01/2022: Peoria, IL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

01/31/2022: Passaic, NJ

Data scientists lay a solid foundation to help perform all kinds of analysis.

01/31/2022: Champaign, IL

Data scientists are also expected to have stronger software engineering skills that data analysts.

02/19/2022: Springfield, OR

Business analysts are focused on reporting, just like data analysts.

02/04/2022: Jamestown, NY

A data scientist should understand the assumptions that need to be met for each statistical test.

03/04/2022: Hialeah, FL

Step 3: View the best colleges and universities for Data Scientist.

Butler University
Carroll College
Cooper Union
High Point University
Princeton University
Providence College