Job Description

Associate Data Scientist

Location: Atlanta, GA Job Number: 958660 Date posted: 05/07/2021 Submit Interest Add to Favorites Remove from Favorites

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Description:
The Search, Data Science & Analytics (SDA) team is looking for an Associate Data Scientist. You will work with team members and cross functional partners and leverage machine learning, deep learning, NLP, graph algorithms and Big Data technologies (Spark, NoSQL databases, Distributed Real-time Systems), cloud platforms such as Azure ML, and general purpose & scripting languages such as Scala/Python/R to drive innovative and impactful Search, Recommender Systems and Personalization customer experiences for KP Digital.
Some of the problems that you will work on:
• Build, tune and monitor dashboards that provide insights into business metrics (“health of the system”), customer feedback, as well as system level metrics
• Conduct data selection, data transformation/cleaning and exploratory data analysis on project specific data sets
• Provide insights and patterns that can be transformed into features for machine learning models and help with project roadmaps
• Build and tune models for Search, Recommender Systems and data science projects.

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for clinical and non-clinical operations enhancements. Interacts with mission-based teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies, interprets and communicates meaningful insights from analysis and experiments to managers.
Essential Responsibilities:

• Design, develop, and evaluate state-of-the-art machine learning models for complex, large-scale data sets.


• Optimize machine learning models to scale in real-time streaming applications.


• Working experience with time series analysis, discrete data modeling and feature engineering.


• Embrace a fast paced, collaborative environment dedicated to building cutting-edge technology solutions using machine learning.


• Proficient in employing statistical and machine learning techniques to provide clinical decision support as well as improve auditing and standards of care.


• Works on problems of limited scope where analysis of situations or data requires a review of a variety of factors.


• Under supervision, coordinates solution development with machine learning scientists, physicians, and other stakeholders.


• Works harmoniously with other software engineers to facilitate model integration and deployment.


• Seek out open-source software packages or existing software code that can be reused or applied to assigned tasks.


• Under supervision, drives informed decision-making and present findings to both technical and non-technical audiences.

Basic Qualifications: Experience

Minimum two (2) years of experience in a related field required OR Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Management Science, Business, Economics or related field.

Education

Bachelor's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Management Science, Business, Economics or related field, AND two (2) years of experience in a directly related field required; OR Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Management Science, Business, Economics or related field.

License, Certification, Registration

N/A

Additional Requirements:

Advanced knowledge of classification and regression algorithms.

Experience with ensemble techniques such as XGBoost.

Working knowledge of Haddop, Spark, MATLAB, TensorFlow, Keras, PyTorch, Python Languages & Packages, Jave, Scala, and/or Cuda.

Experience in Vision & Natural Language Processing using CNN, RNN, LSTM and BERT Algorithms.

Experience with Deep Learning approaches to Natural Language Understanding (NLU) and Language Modeling and Processing.

Experience in building Densely connected Neural Networks with TensorFlow/Keras.

Basic experience with image (DICOM, NIFTI, JPEG, PNG) processing pipeline.

Experience using and building visualizations using large datasets and multiple data sources.

Must be able to work in a Labor/Management Partnership environment.

Preferred Qualifications:

Three (3) years of directly related experience.

Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Management Science, Business, or Economics.

Primary Location: Georgia,Atlanta,Pershing Point Plaza IT Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 08:00 AM Working Hours End: 05:00 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Employee Group/Union Affiliation: NUE-IT-01|NUE|Non Union Employee Job Level: Individual Contributor Department: KPIT ADMIN - KPD CAS GENERAL - 9601 Travel: Yes, 10 % of the Time Load More