Junior Data Scientist - Us/Canada

, Full-Time, Salary $70K-$80K

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Freshers are encouraged to apply

About us: The Future of AI is Patterned We are a stealth-mode technology startup that is revolutionizing the way AI is used. Our platform uses pattern recognition to train AI models that are more accurate, efficient, and robust than ever before.

We are backed by top investors, including Sequoia and Andreessen Horowitz, and we are hiring for almost everything! If you are passionate about AI and want to be a part of something big, then we want to hear from you.

Here are some of the benefits of working at Patterned Learning AI: Work with world-renowned experts in AI, machine learning, and pattern recognition. Solve some of the world's most pressing problems using AI.

Make a positive impact on the world. Be a part of a fast-growing startup. If you are interested in learning more, please visit our website.

We Are Looking For People Who Are

Passionate about AI.

Excellent problem solvers.

Team players.

Driven to succeed.

Responsibilities

• Contribute to internal libraries to help other teams with their data science needs including visualization, prediction, optimization, and inference.
• Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings.
• Collaborate with Software Engineers to implement algorithms in production that scale gracefully.
• Define success criteria for your models so that you can measure impact and changes over time. You'll be expected to communicate findings and drive continuous improvements.
• Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
• Develop algorithms iteratively, building in the right level of complexity to solve the business problem at hand and support future improvements.
• Collaborate with stakeholders to prioritize projects and define requirements.

Requirements & Experience

• Skilled at translating a general question or problem into a clearly defined algorithmic solution.
• Ability to work independently and manage multiple projects simultaneously.
• Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, NumPy, SciPy, and Matplotlib.
• Strong understanding of data modeling and statistical analysis.
• Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
• Ability to communicate clearly with both technical and non-technical audiences.

Nice To Haves

• 1 year Experience with productionizing data models
• 1 year Experience with Databricks or PySpark

Special Benefits You Will Love

• 401(k) with up to 2% employer match
• Health, vision, and dental insurance
• Flexible vacation, unlimited paid holidays, and paid sick days

Why Patterned Learning AI?

Patterned Learning AI is made up of incredibly bright, mission-driven coworkers who are passionate about using technology to solve real world problems---and we're growing quickly. In order to continue building an engaging and dynamic organization, we're committed to giving everyone the support they need to do great work.

Our benefits package is designed to allow our team members to be their best selves, both in and out of the workplace. In addition to comprehensive health plans, a 401k program, and commuter benefits, we prioritize family and personal well-being through professional development, parental leave, and a flexible time off policy. Patterned Learning AI offers a robust online onboarding program to train new hires, biweekly all hands meetings, daily meditation sessions, and a variety of internal virtual events to keep employees connected.

We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected. Patterned Learning AI is proud to be an equal opportunity workplace, and we welcome applicants from all backgrounds regardless of race, color, ancestry, religion, gender identity or expression, sexual orientation, marital status, age, citizenship, socioeconomic status, disability, or veteran status.