Junior Scientist Jobs in Union, 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

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

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data bricks or PySpark

1 year Experience with product ionizing data models

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Knowledge of SQL and VBA.

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Knowledge of SQL and VBA.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data bricks or PySpark

1 year Experience with product ionizing data models

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modelling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modelling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data bricks or PySpark

Certification in, or at least 1 year of applied experience with, R or Python for data science

Experience gathering, cleaning, and analyzing structured and unstructured data

Experience performing statistical analysis on quantitative datasets

Experience delivering briefings to stakeholders throughout project lifecycles

Familiarity with requirements analysis and managing stakeholder expectations

Experience authoring basic SQL scripts to select and retrieve datasets via Oracle SQL

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Databricks or PySpark

1+ Years of Experience in creating complex SQL queries, stored procedures, functions, data structures and strong analytical problem solving skills.

Demonstrate in-depth technical capabilities with the ability to support multiple work streams and drive assimilation of new techniques and solutions.

Evaluate data quality using SQL and data analysis techniques that improve client-reporting capabilities.

Follow technology trends within the Big Data road map and inform clients how this technology will benefit the future development platform.

Participate in team problem solving efforts and offer ideas to solve client issues.

1+ years of experience using scripting languages such as Python, PowerShell, Perl or other scripting languages to extract and manipulate data.

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Experience with R or Matlab or Python. Experience with SQL.

Experience with basic machine learning or statistical methods.

Experience working with messy real-world data

Experience working independently in a rapidly changing scientific environment

Research experience in statistics/data science/related fields

Experience publishing scientific papers in conferences/journals

Knowledge and experience with Pacific Northwest vegetation and wildlife.

Experience focused on aquatic resources (wetlands, streams & rivers, nearshore environments), permitting and regulatory requirements, and fish and wildlife/habitat assessments.

Create and maintain effective client relationships and assess regulatory environmental requirements in the Pacific Northwest.

1-3 years of experience as a wetland scientist, project biologist, or related discipline.

ArcGIS experience or willingness to learn.

Experience with Endangered Species Act compliance and/or PNW fisheries a plus.

Record, enter, organize, manage, and analyze data; and

Strong verbal and written communication skills, including exceptional MS Office skills.

Strong note-taking skills and attention to detail.

Experienced at working well in a team atmosphere and independently as required.

Must have the willingness to learn new skills while conducting field work.

Entry level to up to 3 years experience. Experience in environmental consulting is preferred.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.