Associate Data Scientist Position Available In Orange, Florida

Tallo's Job Summary: The Associate Data Scientist in Orlando, FL, wrangles, models, interprets, and visualizes large volumes of data. They support business leaders by converting data into strategic assets through regular and ad-hoc analyses, focusing on forecasting, customer segmentation, and market-growth initiatives. Required qualifications include a bachelor's degree in related fields and proficiency in data mining tools, relational databases, and statistical programming languages like R or Python.

Company:
Unclassified
Salary:
JobFull-timeOnsite

Job Description

Associate Data Scientist 3.8 3.8 out of 5 stars Orlando, FL 32837 • Hybrid work

JOB DESCRIPTION

The Associate Data Scientist works with team to wrangle, model, interpret, and visualize large volumes of data. Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets. Performs data analysis through the use of various data-mining and statistical techniques in order to gain insights from data to support business priorities. Supports projects including forecasting, customer segmentation, marketing and promotional campaigns, operations enablers, and various market-growth initiatives.

ROLES AND RESPONSIBILITIES

Wrangles large amounts of data from multiple sources Cleanses and prepares data for modeling and analysis Uses the correct data mining approach to solve each business problem Appropriately evaluates model results and iterates as necessary Consults on internal database(s) in collaboration with business partners (e.g., IT, Marketing) to ensure data quality Efficiently and accurately produces insights, visualizations, and data reports to meet the needs of business partners

REQUIRED TECHNICAL SKILLS

Advanced technical degree or 2+ years’ experience using data mining tools and advanced analytical methods in a business environment Proficiency with relational database systems Proficiency and proven experience with techniques in accurately joining large data sets from multiple sources and manipulating data to desired format Experience with data visualization Proficiency in a variety of statistical learning and machine learning techniques Strong analytical and problem solving skills with a solid understanding of business Experience in one or more statistical programming languages (R, Python)

REQUIRED EDUCATION

Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Business Analytics, Computer Science, Economics or a related field

OTHER KEY QUALIFICATIONS

Demonstrated ability and proven results exemplifying initiative, project management skills, and accuracy/detail-orientation Ability to work independently and with team Extremely curious about data Strong organizational and prioritization skills Strong written and verbal communication skills Desire to learn and improve data science skills

PREFERRED SKILLS AND EXPERIENCE

Knowledge and proficiency in R or Python Master’s degree Demonstrated ability to summarize and present complex analytics to senior leadership #LI-LE1 #LI-Hybrid

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