Applied Science Internship Jobs

3+ years of scientists or machine learning engineers management experience

Knowledge of ML, NLP, Information Retrieval and Analytics

Experience directly managing scientists or machine learning engineers

Experience building machine learning models or developing algorithms for business application

Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Our research themes include, but are not limited to:

Understanding of data engineering principles, including data extraction, transformation, and loading (ETL) processes, data integration, and data quality management.

Experience with data cleaning, preprocessing, and analysis

Strong problem-solving and critical thinking skills

Excellent written and verbal communication skills

Excellent interpersonal skills and the ability to collaborate across different groups and cultures.

Conduct research and analysis on large language models and generative AI techniques in the context of communications and business practices.

Strong leadership skills, business understanding and technical expertise

Communication skills, strategic & analytical thinking aptitudes, and the ability to collaborate with global teams

Top talent who can turn innovative ideas into solutions that will differentiate our business in the marketplace

Pursuing a Master’s Degree in Data Science, Computer Science, Engineering, Math, Statistics, or another quantitative field

Compensation offered for this role is $93,000.00-$126,000.00 per year and is based on experience and qualifications.

Lives in data and is curious about what stories data can tell about how users are interacting with digital experiences

1 years+ of machine learning or artificial intelligence software engineering experience focused on a behavioral science component

Experience working with linguistics, NLP or other language science

Both front and backend technical experience with cognitive business applications

Experience with various data types (e.g. Relational, Unstructured, Hierarchical, Linked “Graph” Data)

Experience with data management tools and services such as, Apache Airflow, Kafka, , DBT, Snowflake,

Have strong data modeling skills and data architecture knowledge

Manage and prioritize data requests based on business value

2 years or more of experience as data product and machine learning leader in a team environment.

Knowledge of Machine Learning foundational, ML models & AI data platform

Strong relational database and data integration experiences with third party tools like Salesforce and Iterable

Strong time management and analytical skills

Presenting data science findings to management

Strong programming skills in Python, R, or a similar language

Experience with data analysis and machine learning techniques

Excellent communication and presentation skills

Data analysis and machine learning

Analyze and understand business requirements and translate them into application features based on our products and solutions

Create and document application requirements, changes by working with internal project teams and clients.

Experience with Spring Framework, Maven and Oracle

Experience with application servers, databases/SQL, log4j, Eclipse, and source control

Experience in debugging and troubleshooting software applications

Excellent communication skills including but not limited to documentation, presentation.

Scientific mindset, familiarity with state-of-the-art algorithms, and the ability to invent, excellent creative problem-solving skills

Experience with programming languages such as Java, C++, Python

A working knowledge of analysis of algorithms and computational complexity

Degree program must be based in the United States or Canada with an expected graduation of December 2023 or later

Ability to develop system prototypes

Demonstrated ability to work on collaborative, cross-functional teams

Experience with data management tools and services such as, Apache Airflow, Kafka, , DBT, Snowflake,

Have strong data modeling skills and data architecture knowledge

Manage and prioritize data requests based on business value

2 years or more of experience as data product and machine learning leader in a team environment.

Knowledge of Machine Learning foundational, ML models & AI data platform

Strong relational database and data integration experiences with third party tools like Salesforce and Iterable

Experience in designing experiments and statistical analysis of results.

Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.

Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.

Experience in developing and implementing algorithms, tailored to particular business needs and tested on large data sets

Enrolled in a Ph.D. degree or equivalent in operations research or technologies, computer science, statistics, physics, engineering, or related topics.

Advanced ability to extract complex data sets, cleaning and analysis

Skills employed in this job will include:

Applicant must be confident and comfortable with their math skills as they will be used extensively.

Must embrace team spirit and have strong interpersonal skills.

Experience with cloud computing preferred (e.g. Google Cloud, AWS, etc.).

How you will make an impact:

Demonstrate machine learning and automation to enhance business processes.

Programming and/or database management skills with one or more of the following languages: R, Python, Stata, SAS, SQL

Experience in an academic research setting

Communication and data visualization skills

Assisting the team with cleaning and analyzing data, including database maintenance

Assisting with modeling and dashboard development

Assisting with documentation of the data and measures

Experience with Python & Numpy

Strong problem solving and critical thinking skills

Experience with machine learning and image classification

Experience working with satellite imagery and geospatial data

Leverage our Python-based platform to query, access, and manipulate satellite imagery

Utilize machine learning or other classification techniques to analyze satellite imagery