Data Analyst

United States·Mantenomid

Data ScienceData AnalystDataData & AI

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Quick Summary

Overview

Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe.

Technical Tools

Data ScienceData AnalystDataData & AI

Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route.

Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization.

We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to transform raw data into actionable intelligence.

Responsibilities

~1 min read

→Collect, clean, and preprocess large datasets from various sources.
→Restructure and organize data to ensure consistency and usability.
→Perform feature engineering to enhance data models for machine learning
applications.
→Collaborate with data scientists and engineers to support ongoing projects.
→Assist in developing and optimizing data pipelines.
→Generate reports and visualizations to communicate insights effectively.

Requirements

~1 min read

Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field.
Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.
Familiarity with SQL and database management.
Basic understanding of machine learning concepts and feature engineering.
Strong analytical and problem-solving skills.
Ability to work independently and in a team environment.

Requirements

~2 min read

Experience with implementing machine learning in industry is a plus.
Knowledge of lithium-ion battery technology is good to have.
Experience with cloud platforms like AWS, GCP, or Azure.
Knowledge of data visualization tools such as Tableau or Matplotlib.
Prior experience with big data frameworks (e.g., Spark) is a plus.

The US base salary range for this full-time position is $65,000.00 - $70,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all.

We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law.

At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.