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Data Scientist at iFIT. Location Information: Remote - US, United States. . iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.. . . . We are currently seeking an ambitious pace-setter to join our team as a. Data Scientist remotely.. . . . ROLE COMMITMENTS. . . Launch next phase of AI Coach and expand general access. . Broaden availability of AI Coach features to new user groups over time. . Improve user engagement metrics for AI Coach experience. . Support development and promotion of new wellness-related product features. . . . . ESSENTIAL DUTIES AND RESPONSIBILITIES. . . Explore and analyze large and complex datasets to uncover patterns, trends, and insights. . . Use statistical methods to interpret and validate findings. . . Engineer relevant features from raw data to enhance model performance. . . Collaborate with cross-functional teams to select features that contribute to business objectives. . . Develop predictive and prescriptive models using machine learning algorithms. . . Fine-tune models for optimal performance and accuracy. . . Create clear and compelling visualizations to communicate complex data insights to stakeholders. . . Utilize data visualization tools to present findings in an accessible manner. . . Conduct statistical analyses to test hypotheses and validate results. . . Apply advanced statistical methods for forecasting and pattern recognition. . . Collaborate with business stakeholders to understand data requirements and objectives. . . Communicate findings and insights to both technical and non-technical audiences. . . Clean and preprocess raw data to ensure accuracy and completeness. . . Implement data-cleaning . pipelines. and workflows. . . Stay informed about advancements in data science, machine learning, and related fields. . . Apply new methodologies and technologies to improve analysis and modeling techniques.. . . Qualifications. . . . Education and Basic Qualifications . . . . . Bachelor’s Degree in Statistics, Data Science, Computer Science, or a related field.. . 5-8 years of relevant experience. . . Previous hands on experience working in . Typescript. . . Authorized to work in the United States without sponsorship.. . . . . Preferred Qualifications . . . . . Proven experience in data analysis, statistical modeling, and machine learning. . . Strong understanding of data structures, algorithms, and database systems. . . Excellent problem-solving and critical-thinking skills. . .