Description
Top 3-5 Requirements:
1-3 Years Of Relevant Experience Required
Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
Experience in data visualization tools such as Power BI, QuickSight, etc.
Experience With AI/ML Platforms Like Dataiku, SageMaker, Others.
Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment.
Job Description
Are you passionate about Advanced Analytics? If so, we have an exciting opportunity to join our Fortune 500 company as a Senior Data Scientist.
In this role, you will work with a high performing team of experienced data scientists, playing an integral role supporting business priorities.
You will use advanced analytics techniques including predictive modeling, clustering, recommendation algorithms, and attribution analysis.
You will translate modeling/analytic output into actionable business knowledge, insights, and applications.
There will also be opportunities to demonstrate your strong technical/problem solving skills while working collaboratively in a fast-paced team environment.
Responsibilities
Assist in the development and implementation of complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.. May lead efforts on small-medium sized projects.
Assist in dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation.
May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.
Partner closely with leader and others to ensure proper delivery.
Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Help identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.
Embed analytic programs and tools.
Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders.
Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices.
Education: Bachelors Degree
