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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:
- Partnering with project teams in developing and applying ML expertise in developing and delivering customer solutions
- Independently and effectively engaging with external technical stakeholders and subject matter experts to understand and solve critical business problems through the application of cutting-edge artificial intelligence
- Designing and deploying machine learning models for commercial and industrial applications, such as anomaly detection, prescriptive maintenance, among others
- Leading all phases of the data science process from data exploration and processing, feature selection and engineering, model training, and testing, and information synthesis
- A strong understanding of Data Science, including basic elements of machine learning, statistics, probability, and modeling.
- The desired candidate should have a quantitative background, experience working with time series and strong coding skills.
- This position requires a background in deep learning, reinforcement learning and generative processes or similar.
- Experience with Data Science programming languages, such as Python, R, Matlab
- Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and experience in at least one
- Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection
- 2+ years of experience in building machine learning models
- Experience and knowledge of renewable energy technologies especially applying data analytics techniques in the domain
- Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders
- Ability to form strong working relationships with team members, cross departmentally, customers' technical teams, and executive leadership
- Degree in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related
Nice to have:
- Graduate or Doctorate degree (or 5-8 years of equivalent experience) in one of the fields above
- A strong work ethic, along with the ability to prioritize and complete all job responsibilities in a timely manner
- Prior experience in the finance industry is good but not a requisite.
- Ability to be responsive with a willingness to take ownership of issues and drive solutions
- Excellent time management and organizational skills
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