Data Science Trainee

9 hours ago

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FocusKPI, Inc.

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

11 - 50

Description

• Assist with data preparation and building predictive models. • Provide hands-on experience in analyzing data, building models, and solving business problems using machine learning techniques. • 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. • Communicate findings clearly and effectively to both technical teams and business stakeholders.

Requirements

• 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 skills 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.