3 Data Scientist Jobs in Overland Park, KS
Caliber Financial Services is Hiring a Data Scientist Near Overland Park, KS
- Design, Develop and Deploy advanced machine learning and Artificial Intelligence algorithms/predictive models for use in Underwriting, Customer Management, Marketing, Portfolio Management and Operations.
- Assess, clean, merge, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging SQL, R, SAS, Python and/or Databricks Spark.
- Perform parallel processing computations within Python/R/SAS environment as well as cluster computing technologies such as Databricks Spark.
- Design, Develop and Deploy multiple linear and nonlinear models for testing, development and deployment into our underwriting engine in the application of risk management in all of Caliber’s acquisition channels.
- Efficiently apply data mining methodologies to minimize credit/fraud losses, maximize response and approval rates, and develop methods to enhance profitability of Caliber products.
- Provide insights and guidance of third-party data from data mining results, such as Factor Trust/Transunion, Clarity/Experian, and Equifax to include knowledge of products and data available, products to purchase or discontinue, cost benefit analysis of retrospective analysis, effective use of variables, data dictionaries as well as advantages and limitations.
- Maintain clear, detailed model documentation.
- Minimum Master’s degree in highly quantitative field (Statistics, Economics, Mathematics, Engineering, or other quantitatively-oriented degree) required.
- Minimum 1-2 years previous experience working in financial risk analytics required.
- Demonstrated proficiency with advanced statistical modeling and substantial experience with machine learning techniques (e.g., Random Forest, Gradient Boosting, LASSO, Elastic Net, etc). Knowledge of penalized regression and classification methods a plus.
- Strong SQL data operation & programming skills, with ability to conduct substantial data munging and data engineering.
- Proficiency with Python, R, or SAS; expertise with versioning software (e.g., Power BI or Tableau), big data solutions and data processing frameworks (e.g., Spark, Hadoop).
- Can do attitude and can work in fast-paced environment with ever-changing demands.
- Superior communication skills for communication with Risk Management peers and executive team.
- Experience with database technologies such as Oracle, PostgreSQL, SQL Server, or Databricks a plus.
- Proficiency of contemporary supervised and unsupervised data mining techniques a plus.
Job Summary
Full Time
$88k-109k (estimate)
10/15/2023
06/08/2024
The job skills required for Data Scientist include Analysis, Machine Learning, Python, Insight, Algorithms, SQL, 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.
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.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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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.
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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.
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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.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.
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