Data Scientist III
Austin, Texas, United States, Remote
Applications have closed
SparkCognition
SparkCognition builds AI platforms that enable the world’s most creative problem solvers to ignite lasting impact in their organizations and the world.
Voted Best Places to Work in Austin, Best Paying Companies,
and Top Startup Companies by Forbes
SparkCognition looks to bring in the best talent in the world. To accommodate the hiring of our wildly talented teams, SparkCognition sponsors visa opportunities when appropriate.
Who are we and why this opportunity?
Drive change and create a footprint. SparkCognition invests in our employees and fosters
collaboration throughout the organization. Our employees have the ability to work globally
with award-winning artificial intelligence (AI) technology within multiple industries.
What are the benefits and perks at SparkCognition?
You and your loved ones will be supported with a competitive and comprehensive benefits package.
Below are some highlights - we’d love to connect and share more!
- Fast-paced evolving culture with the opportunity to drive new ideas and technology.
- Dynamic Work Environment - Remote and In-Office Options
- Stock Option Grants
- Generous Time Off Programs
- Medical Coverage, and Parental Leave Plans
- 401k with Employer Match
- Monthly Technology Allowance
- Large 2022 renovated office space centrally located near the Arboretum in Austin, TX- including fully stocked beverage and snack areas!
Join us in:
- Leading all phases of a model development process from data processing, feature selection, and engineering, model training and testing, and synthesizing information in reports
- Designing and conducting quantitative experiments to characterize algorithms
- Using and building automated tools that enable the data scientist to perform tasks more effectively such as data exploration/visualization, data cleaning, feature generation, feature selection, model building, and model validation
- Contributing to product development and deployment as well as key research areas
You’ll have:
- A graduate degree or above (or equivalent industry experience), in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related scientific discipline
- A strong understanding and experience using machine learning techniques and algorithms, including but not limited to Linear Models, Neural Networks, Decision Trees, Bayesian Techniques, Clustering, and Anomaly Detection
- Proficiency with Unix shell commands
- Experience with data science programming using Python
- Experience with machine learning frameworks, such as sci-kit-learn, PyTorch, TensorFlow, and Keras
- Strong interpersonal skills
- The ability to partner with and guide other data scientists in developing and applying ML expertise in developing and delivering novel solutions
- Proficiency in sound software development practices and processes
- Strong written and verbal communication skills with the ability to translate complex technical topics to internal and external stakeholders
It would be great if you had:
- Experience developing algorithms in a distributed environment (e.g. Dask, Ray, etc.)
- Experience managing large volumes of data (terabytes or more)
- Experience with Big Data Analytics, and Graphing techniques
- Prior work experience in one or more of the following industries: Aerospace, Automotive, Consumer Packaged Goods, Manufacturing, Supply Chain, Oil & Gas, Utilities
Explore SparkCognition:
https://www.sparkcognition.com/company/
SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.#remote #ai #bethespark
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Big Data Computer Science Data Analytics Engineering Keras Machine Learning Mathematics Model training Physics Python PyTorch Research Statistics TensorFlow Testing
Perks/benefits: 401(k) matching Career development Equity Health care Medical leave Parental leave Startup environment
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