Data Scientist

RESPONSIBILITIES:
Kforce has a client that is seeking a remote Data Scientist.

Summary:
The Data Scientist typically involves using data to answer business questions and improve decision-making. This includes collecting, cleaning, and analyzing large datasets using statistical and machine learning techniques to extract meaningful insights and build predictive models. Data Scientists communicate their findings through visualizations and reports, providing actionable recommendations to stakeholders.

Job Duties may include:
* Data Scientist will design various AB tests, multivariate tests and works with organizations stakeholders to identify opportunities for leveraging data
* Produces innovative solutions driven by exploratory data analysis from large high dimensional datasets
* Expertise in analytics algorithm such as Apriori, Decision Trees algorithm, Naive Bayes algorithm, clustering algorithm, Neural Network algorithm, Linear Regression algorithm, Random Forest
* Applies strong knowledge of statistics, machine learning, Data modelling and simulations to recognize patterns
* Identifies opportunities, pose business questions and make valuable discoveries leading to new product development, enhancements and prototype development
* As a Data Scientist, you will develop increasing complex models & monitors performance of developed models and makes recommendations to increase accuracy
* Documents implementation details and choice of models, rationale and reasoning
* Acts as a mentor to lesser tenured colleagues

REQUIREMENTS:
* Bachelor's degree
* 2+ years of experience as a Data Scientist
* Strong expertise in statistical computation and numerical packages in tools (R, Spark, Mahout, RapidMiner, Alteryx, Knime, and Python)
* Significant experience with analyzing data from different sources and visualizing tools such as KNIME, Spotfire, Tableau, etc.
* Significant experience and familiarity in Big Data Technologies i.e. Apache Hadoop, Map Reduce, Hive, PIG, Sqoop, Flume, etc.
* Excellent understanding of theory of statistics and their application

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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