Junior Data Scientist Engineer Jobs in Arkansas

Create comprehensive documentation outlining the architecture and setup of the infrastructure, facilitating better understanding and knowledge sharing

BS in computer science, engineering, or related quantitative field, or equivalent experience

Experience with common Data Science Libraries such as Pandas, Matplotlib, and scikit-learn

Experience with at least one machine learning framework such as: PyTorch, TensorFlow, or R

Experience working in development teams and using git

Good analytical and organizational skills

Experience with EDA (exploratory data analysis) using a variety of Python libraries or BI platform tools

Experience with AWS or other PaaS cloud services (such as AWS S3, RDS, Redshift, EMR, and Lambda) are a plus

Build complex data transformations and statistical models using Python, SQL, SAS.

Perform EDA, scenario modeling, forecasting and simulations on large datasets.

Ingest, transform, clean and augment internal and external data assets. Automate data pipelines to process. patient-level and aggregated public health data.

Continuously learn by investigating new technologies and mentor other team members.

Educational experience or courses/projects in Artificial Intelligence, Machine Learning and Statistics.

Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of start date.

Practical experience with Machine Learning, Natural Language Processing, and/or Artificial Intelligence and the ability to apply these techniques concrete problems.

Experience in R, Java, Python, Scala, SAS, SPSS or similar.

Experience following a software development lifecycle, including developing and maintaining production quality code.

Experience developing data analysis prototypes.

Skill enhancement programs available for candidates missing skills or experience

Experience in Java and understanding of software development life cycle

Excellent written and verbal communication skills

Preferred skills in NLP, Text mining, Tableau, and Time series analysis

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or IT

Highly motivated, self-learner, and technically inquisitive

Support project/program management activities to control scope, cost, schedule, and quality

Interact with the customer to support the management of customer expectations and support customer adoption

Work efficiently with Consultants, Solution Architects, Project Managers, and other internal and external interfaces

One to three years’ experience with Teamcenter or other enterprise PLM, ERP or MES systems

Experience with the phases of software implementation projects including installation, configuration, testing, deployment, and postproduction support

Experience with Software Development Lifecycles (SDLC) best practices, standards, and testing

— Positively impact human lives by developing a platform offering free healthcare

— Knowledge of data structures and algorithms

MS/BS Degree in Statistics, Mathematics or equivalent work experience

Experience in statistical data analysis and/or science research

Experience with Bayesian software such as Netica, Stan, PyMC3

— Research medical literature to build Bayesian Networks holding expert medical knowledge

Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training

Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means)

To develop analytical models for insight generation that improves business decision making.

Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.

Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.

Will contribute to data science team discussions, providing insight on current approaches and methods,