- B2B
- Scale StageRapidly increasing operations
- Top InvestorsThis company has received a significant amount of investment from top investors
- +1
Senior Machine Learning Scientist
- Full Time
About the job
About the role
We are looking for a Machine Learning Scientist to join our team and help us you will be integral in creating innovative machine learning models and refining existing ones to drive the future of our AI initiatives. You will be working closely with a team of ML scientists and engineers to design and implement cutting-edge solutions that address our unique business challenges.
You'll have the opportunity to work on complex problems in a highly innovative environment, collaborate with cross-functional teams and contribute to the design, development, and deployment of machine learning algorithms. Your work will directly impact the growth and vision of Coalition, as you help us transform raw data into unique ML applications, pushing the boundaries of AI technology.
Responsibilities
- Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
- Survey and incorporate recent advances in AI/ML research into our set of core capabilities to drive the future of decisioning at Coalition
- Thoughtfully communicate your work and experience in applied machine learning through internal collaborations and mentorship opportunities.
- Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization.
Skills and Qualifications
- Ph.D. or MS degree in a quantitative or computational field
- 5+ years of full-time work experience leading work to develop and deploy machine learning- and data-based solutions in production.
- Practical and extensive experience in supervised and unsupervised machine learning methods
- Expertise in statistical analysis methods, most notably regression analysis, statistical inference, and forecasting
- Proficiency in SQL and programming in Python
- Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
- Exceptional written and oral communication with technical and non-technical audiences
Perks
- 100% medical, dental, and vision coverage
- Flexible PTO
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs like Headspace, Lumino, and more!
- Competitive compensation and opportunity for advancement
About the company
- B2B
- Scale StageRapidly increasing operations
- Top InvestorsThis company has received a significant amount of investment from top investors
- Valuation $1B+This company has a valuation of $1B or more