6 Data Scientist Jobs in Frankfort, KY
Cynet Systems is Hiring a Data Scientist Near Frankfort, KY
Responsibilities:
Data Analysis and Interpretation:
- Conduct exploratory data analysis to Client trends, patterns, and anomalies.
- Develop and implement statistical models for predictive and prescriptive analysis.
- Interpret and communicate data-driven insights to non-technical stakeholders.
- Data Preparation and Cleaning:
- Clean and preprocess raw data to ensure accuracy and reliability.
- Work with large datasets from diverse sources and formats.
- Collaborate with data engineers to create and maintain data pipelines.
- Algorithm Development:
- Develop algorithms for solving complex business problems.
- Implement algorithms for pattern recognition, clustering, and classification.
- Collaborate with business analysts, data engineers, and other stakeholders to understand business requirements.
- Present findings and insights in a clear and understandable manner to both technical and non-technical audiences.
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics), master's degree in IT field, or equivalent experience in Data Science.
- Proven experience as a Data Scientist or similar role.
- Fluent in Structured Query Language (SQL).
- Experience with Tableau and Power BI.
- Proficiency in statistical analysis and data visualization tools.
- Excellent problem-solving and critical-thinking skills.
- Strong communication and collaboration skills.
- 5 years working in an Analytics position for a large-scale IT system.
- Working knowledge of Healthcare Programs (i.e., Medicaid).
- An understanding of healthcare enterprise systems (including, but not limited to claims, finance, members, and providers), with the ability to understand and communicate from a business and technical perspective.
- Knowledge of big data technologies and tools.
- Holding industry-recognized data science certifications, for example:
- Certified Analytics Professional (CAP).
- IBM Data Science Professional Certificate.
- Microsoft Certified: Azure Data Scientist Associate.
- SAS Certified AI and Machine Learning Professional.
- SAS Certified Data Scientist.
- Experience with tools like ArcGIS, Toad, SAS, SPSS, and RStudio.
- Virtual interviews will be conducted through MS Teams. .
- After those two days, continuing training will be done virtually.
Job Summary
Contractor
IT Outsourcing & Consulting
$99k-122k (estimate)
05/19/2024
10/09/2024
cynetsystems.com
ARCOLA, VA
500 - 1,000
2010
ASHWANI MAYUR
$50M - $200M
IT Outsourcing & Consulting
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The job skills required for Data Scientist include Data Science, Machine Learning, Insight, Algorithms, SQL, Computer Science, 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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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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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.
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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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Step 3: View the best colleges and universities for Data Scientist.
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