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About the job
Graduate Program Details
Position: Graduate Program
Location: Remote
Duration: 3 months
Compensation: Paid
Work Hours: USA Business Hours
Timezone: EST, PST, CST or MST
Responsibilities
- Applied experience with machine learning on large datasets.
- You will be responsible for project scoping with business stakeholders, analyzing and building massive datasets, developing production-ready statistical tools, visualizing and presenting model performance, and facilitating system integration and user adoption of the solutions.
- Work closely with the product owner, UX designer, Development, and DevOps teams, perform testing activities in an Agile development environment, and collaboratively deliver high-quality applications.
- Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale
- You will be tasked with navigating ambiguity and chaos as you guide long-term projects all the way from ideation to impact
- Work with technical and non-technical stakeholders to identify key business problems that can feasibly be solved using data science methods
- Develop SQL scripts and ETL pipelines using a variety of traditional as well as large-scale distributed data systems
- Write Python scripts to analyze large data sets, perform feature engineering, and train/test/track AI/ML models
- Develop dashboards to facilitate reporting and tracking of AI/ML models
- Partner with system architects and application engineers to integrate production models into systems
Job-Related Requirements
Kounsel only accepts applications submitted through the Kounsel graduate programs webpage
- Cumulative GPA of 3.0 or higher (Please upload ALL transcripts as part of the application process)
- Recently completed a Bachelors or Masters program (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
- Excellent written and oral communication, and presentation skills
- Basic Git experience
- 1 year experience using Kotlin, Java, Python, or C++.
- 1-year experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL).
- Completed Bachelor's degree within the last two years or enrolled in a Master's or PhD program.
- Excellent written and oral communication, and presentation skills in English.
- Strong problem-solving abilities and attention to detail
- Ability to work independently and manage time effectively, while also contributing to a team environment.
- Must have the equipment and environment to work remotely (laptop/computer, reliable internet connection, quiet, conducive space).
Send your Resume, Transcripts, and Cover letter describing your skills and experience through this web page: https://site.kounsel.io/graduate-program . Take note that only shortlisted candidates will be contacted.
Benefits
- Cutting-Edge Projects: Dive into the exciting project that challenges your skills and lets you explore new marketing territories.
- AI-Powered Projects: Dive headfirst into projects that integrate AI, challenging your skills and opening doors to explore uncharted territories.
- Work-Life Harmony: Whether you're a digital nomad or simply prefer the comfort of your own space, at Kounsel, you have the freedom to design and create from anywhere across the globe.
- Diversity: Be part of a vibrant, international, and inclusive team where diverse ideas are celebrated.
- Team Spirit: Be part of a supportive and driven team that celebrates successes together.
- Recognition Rally: Your achievements won't go unnoticed. Expect regular recognition and applause.
Based in San Francisco, Kounsel isn't your typical tech startup. We're on a mission to revolutionize counseling services with cutting-edge technologies and AI-driven projects, offering a wide array of expertise in health, law, veterinary, and more.
At Kounsel, innovation drives everything we do. With a keen focus on customer satisfaction, we continuously refine our product using cutting-edge technology to deliver exceptional services.
Our team is an international, diverse blend of talents, united by a shared commitment to honesty, hard work, and creativity.