Senior Data Scientist

Harvey Nash

Frankfort (KY)

On-site

USD 55,104 - 61,992

Full time

14 days+

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Job summary

A recruitment firm is seeking a Senior Data Scientist in Frankfort, KY, with expertise in statistical analysis and machine learning. The role involves extracting insights from data, developing statistical models, and collaborating with teams. Candidates should have a Bachelor's degree in a quantitative field, be fluent in SQL, and have experience with data visualization tools like Tableau and Power BI. Competitive pay is offered, along with a contract employment type.

Qualifications

Strong background in statistical analysis, machine learning, and data modeling.
Experience as a Data Scientist or similar role.
Proficiency in statistical analysis and data visualization tools.

Responsibilities

Conduct exploratory data analysis to discover trends and patterns.
Develop and implement statistical models for analysis.
Collaborate with data engineers to create and maintain data pipelines.

Skills

Statistical analysis

Machine learning

Data modeling

SQL

Tableau

Power BI

Data visualization

Problem-solving

Communication

Collaboration

Education

Bachelor's degree in a quantitative field

Master's degree in IT field

Tools

ArcGIS

Toad

SAS

SPSS

RStudio

Job description

This range is provided by Harvey Nash. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$40.00/hr - $45.00/hr

Job Overview:

Senior Data Scientist will have a strong background in statistical analysis, machine learning, and data modeling. The Data Scientist will play a key role in extracting valuable insights from our data, contributing to policy decision-making processes, and developing innovative solutions to complex problems.

Primary Responsibilities Include (but not limited to):

Data Analysis and Interpretation:

Conduct exploratory data analysis to discover 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.

Collaboration and Communication:

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.

Required Qualifications:

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.

Preferred Qualifications:

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, 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
SAS Certified AI and Machine Learning Professional
SAS Certified Data Scientist

Experience with tools like ArcGIS, Toad, SAS, SPSS, and RStudio.

Seniority level