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Jobs or company...

[Internal] Data Science Trainee

Salary undisclosed

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Job Description

Job Description

Job Title: Data Science Trainee
Location: Remote in United States (EST Preferred)
Type: Full-Time / Unpaid Trainee Program
Company: FocusKPI

Please submit your resume and a brief cover letter outlining your experience with data science projects, relevant coursework/work experience, and why you re interested in this role to [email protected].

We are excited to introduce our AI Trainee Program at FocusKPI, Inc. This 3-month program is designed to provide hands-on experience in developing AI solutions through real-world projects under the mentorship of our experienced team. Throughout the program, you'll receive technical guidance to enhance your skills and practical knowledge. Successful completion may lead to a paid internship opportunity.

About Us:
FocusKPI is an innovative AI solutions company that empowers businesses to make data-driven decisions. We specialize in building tailored AI and machine learning tools across various industries such as retail, marketing, and enterprise clients. We are working on projects that leverage advanced algorithms to solve complex business problems and optimize outcomes.

Role Overview:
We are looking for a full-time Data Science Trainee to assist with data preparation and building predictive models. This role will provide you with hands-on experience in analyzing data, building models, and solving business problems using machine learning techniques. Strong communication skills are essential as you will regularly present your findings to team members and business stakeholders.

Key Responsibilities:

  • Collaborate with the team to understand business needs and translate them into data-driven solutions.

  • Assist in preparing, cleaning, and structuring data.

  • Perform exploratory data analysis (EDA) to uncover insights and identify key variables.

  • Support the development and validation of models that drive business outcomes using various statistical and machine learning techniques.

  • Document workflows and assist in building data pipelines that ensure efficient model development and deployment.

  • Communicate findings clearly and effectively to both technical teams and business stakeholders, helping them make data-driven decisions.

Skills and Qualifications:

  • Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field.

  • Strong analytical skills with a solid understanding of data modeling and problem-solving for business contexts.

  • Familiarity with machine learning concepts and algorithms.

  • Proficiency in Python and experience with relevant libraries (e.g., pandas, scikit-learn).

  • Excellent communication skill to articulate insights and complex ideas to both technical and non-technical audiences.

  • A willingness to learn and apply new techniques to different business challenges.

  • Ability to work independently and meet deadlines in a remote setting.

Nice to Have:

  • Experience with building and optimizing machine learning models.

  • Understanding of cloud platforms (e.g., AWS) for model deployment and data management.

  • Familiarity with data visualization tools to communicate insights effectively.

Benefits:

  • Hands-on experience with real-world data science projects.

  • Opportunity to learn and apply cutting-edge data science techniques to solve business problems.

  • Potential for future full-time opportunities based on performance.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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