Data Scientist

Data Scientist

13 Jun 2024
Georgia, Thomasville, 31792 Thomasville USA

Data Scientist

Vacancy expired!

Description

Position Summary
The Data Scientist applies strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engine and services. The data scientist collaborates with translators to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions.

Position Responsibilities/Major Duties
Responsibilities include but are not limited to:

Design, create, test and implement complex models and algorithms that drive analytical solutions throughout the organization.
Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance.
Collaborate with translators and understands business problems to implement scalable and sustainable solutions.
Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions.
Support translators in communicating the design, functioning and output of the analytical models/solutions developed.
Ensure timely analysis and testing for regular maintenance of solutions over time.

Essential Job Functions/Requirements

Technical: Must have knowledge and experience in the following:
• Bachelor's in Data Science, Computer Science, Engineering, Statistics, and 2+ years' experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years' work experience.
• Must have Python or R proficiency working with Data Frames and complex SQL queries.
• Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems on large scale data sets.
• Must have proficiency with Deep Learning.
• Must have proven ability to merge and transform disparate internal & external data sets together to create new features.
• Demonstrated ability to efficiently learn and solve new business domains.
• Number sense; healthy skepticism around validity of data and its inherent biases.
• Intellectual curiosity to understand and answer questions.
• Intellectual humility to leverage the expertise of others.
• Exemplary organizational skills with attention to detail & accuracy.
• Demonstrated aptitude for learning innovative technologies.

Requirements

Applying Machine Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Libraries, Machine Learning Methods, Machine Learning Models, Deep Learning, Data Mining, Data Mining Techniques, Data Mining Tools, Python, SQL, Keras, TensorFlow, Pandas, Microsoft Azure, AWS Technologies, Hadoop, Spark ML, Tableau, Matplotlib

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