Data Science Graduate

6 days ago

india Kounsel Full time
Job Description

Are you a recent graduate or a current Master's student passionate about Data Science? As a part of Kounsel team, you will take part in every step of Kounsel product experience. From data gathering and analysis, and development of scripts and statistical tools to visualization and presentation, you will play a part in using data to improve Kounsel’s products. You will have the freedom and opportunity to unleash your passion for data and technical skills, further enhance your abilities, and be part of a remote, dynamic, international team that values your input and passion. Cutting-edge, AI-driven projects, filled with passion for innovation are a part of Kounsel’s core.

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


Requirements Job-Related Requirements

  • Cumulative GPA of 3.0 or higher (Please upload ALL transcripts as part of the application process)

  • Recently completed a degree in a quantitative discipline or currently enrolled in a Master’s 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).

General Requirements

  • 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).

How to apply

Send your Resume, Transcripts, and Cover letter describing your skills and experience through this web page:  . 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.

Company Overview

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.


Requirements
Cumulative GPA of 3.0 or higher (Please upload ALL transcripts as part of the application process) Recently completed a degree in a quantitative discipline or currently enrolled in a Master’s 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). General Requirements 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).

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