Data Science Trainee

9 hours ago

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Logo of FocusKPI, Inc.

FocusKPI, Inc.

Business Intelligence β€’ Human Resources/Staffing Solutions β€’ Risk Management β€’ Multi-touch Attribution Model β€’ ROI Improvement

11 - 50

Description

β€’ Assist with data preparation and building predictive models. β€’ Provide hands-on experience in analyzing data, building models, and solving business problems using machine learning techniques. β€’ Collaborate with the team to understand business needs and translate them into data-driven solutions. β€’ Assist in preparing, cleaning, and structuring data. β€’ Perform exploratory data analysis (EDA) to uncover insights and identify key variables. β€’ Support the development and validation of models that drive business outcomes using various statistical and machine learning techniques. β€’ Document workflows and assist in building data pipelines. β€’ Communicate findings clearly and effectively to both technical teams and business stakeholders.

Requirements

β€’ Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field. β€’ Strong analytical skills with a solid understanding of data modeling and problem-solving for business contexts. β€’ Familiarity with machine learning concepts and algorithms. β€’ Proficiency in Python and experience with relevant libraries (e.g., pandas, scikit-learn). β€’ Excellent communication skills to articulate insights and complex ideas to both technical and non-technical audiences. β€’ A willingness to learn and apply new techniques to different business challenges. β€’ Ability to work independently and meet deadlines in a remote setting. β€’ Nice to Have: Experience with building and optimizing machine learning models. β€’ Understanding of cloud platforms (e.g., AWS) for model deployment and data management. β€’ Familiarity with data visualization tools to communicate insights effectively.

Benefits

β€’ Hands-on experience with real-world data science projects. β€’ Opportunity to learn and apply cutting-edge data science techniques to solve business problems. β€’ Potential for future full-time opportunities based on performance.

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