Junior Data Scientist

Junior Data Scientist, US/Canada Residents only, Full-Time, Salary $60K-$70K

Minimum 1 year of project experience required - fully remote position.

Freshers are also encouraged to apply!

About us: Patterned Learning is an innovative AI staffing and recruiting company that utilizes cutting-edge technology to revolutionize the hiring process. Using advanced AI algorithms, Patterned Learning analyzes vast amounts of data to identify patterns and trends in candidate profiles and job requirements. This allows them to make accurate predictions and recommendations for successful job placements.

Responsibilities:

• 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.
• 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.
• Collaborate with Software Engineers to implement algorithms in production that scale gracefully.
• Collaborate with stakeholders to prioritize projects and define requirements.
• Carry out analysis of data produced by our hardware systems and create insightful visualizations to share your findings.
  

Requirements & Experience:

• 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.
• Skilled at translating a general question or problem into a clearly defined algorithmic solution.
• Ability to communicate clearly with both technical and non-technical audiences.
  

Nice to haves:

• 1-year Experience with Data Bricks or PySpark
• 1 year Experience with product ionizing data models
  

Why Patterned Learning AI?

Patterned Learning AI staffing platform offers a seamless experience for both employers and candidates. Employers can post job openings and specify their requirements, while candidates can create profiles and upload their resumes. The AI algorithm then compares the job requirements with the candidate profiles, considering factors such as skills, experience, qualifications, and even soft skills and cultural fit.

The AI algorithm continuously learns and adapts based on previous successful placements, constantly improving its matching capabilities. This ensures that the recommendations provided by Patterned Learning are tailored and accurate, increasing the likelihood of a successful match between employers and candidates.

Patterned Learning aims to transform the traditional staffing and recruiting industry by leveraging the power of AI and pattern recognition. By providing intelligent and data-driven solutions, they strive to enhance the efficiency and effectiveness of the hiring process, ultimately helping companies find the best talent and individuals find their dream jobs.