Insight Global Evergreen is seeking a talented Data Scientist to join our dynamic team and contribute to our data analytics and machine learning initiatives. You will be dedicated to leveraging data-driven insights to drive business growth and enhance customer experiences for one of our large utility clients in California.
Key Responsibilities:
Data Analysis & Modeling: Utilize Python and R to analyze complex datasets, develop predictive models, and generate actionable insights.
Database Management: Manage and optimize data storage and retrieval using Snowflake, ensuring data integrity and performance.
Machine Learning: Design, implement, and evaluate machine learning algorithms to solve business problems.
Data Visualization: Create compelling visualizations to communicate findings to stakeholders using tools like Matplotlib, ggplot2, and other visualization libraries.
Collaboration: Work closely with cross-functional teams including data engineers, product managers, and business analysts to understand requirements and deliver solutions.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available
here.
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https://insightglobal.com/workforce-privacy-policy/ .
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
Proven experience in data science roles, with a strong background in Python and R programming.
Proficiency in Snowflake for data warehousing and SQL for querying.
Advanced knowledge of Python and R
Experience with machine learning frameworks and libraries.
Experience building models
Data cleansing experience
Strong understanding of statistical methods and data analysis techniques.
Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.