Data Scientist - Machine Learning

We are seeking an ambitious and talented Data Scientist specializing in Machine Learning to join a forward-thinking tech startup focused on revolutionizing educational technology. This is a fully remote role, allowing you to work from anywhere in the United States. You will play a pivotal role in developing and deploying cutting-edge machine learning models that enhance personalized learning experiences, optimize educational content delivery, and drive data-informed product development. Your responsibilities will include data collection, cleaning, and preprocessing; designing, implementing, and evaluating various machine learning algorithms (e.g., supervised, unsupervised, deep learning); and collaborating closely with software engineers and product managers to integrate models into our platform. You'll conduct exploratory data analysis to uncover insights, identify key performance indicators, and contribute to strategic decision-making. The ideal candidate possesses a strong foundation in statistical modeling, programming (Python, R), and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. You should be adept at translating complex business problems into data science solutions and communicating technical findings clearly to both technical and non-technical audiences. This is an exceptional opportunity for a driven individual to make a significant impact on the future of education through innovative AI and data science applications. You will work with a talented team, tackle challenging problems, and have the autonomy to shape the direction of our data initiatives. If you are passionate about leveraging data to improve learning outcomes and thrive in a fast-paced, remote environment, this is the perfect role for you.

Responsibilities:

Design, develop, and implement machine learning models to address educational challenges. Perform data analysis, feature engineering, and model evaluation. Collaborate with cross-functional teams to integrate ML solutions into the product. Conduct research on state-of-the-art ML techniques and their applications in education. Develop data visualizations and communicate insights to stakeholders. Contribute to the company's data strategy and roadmap. Stay up-to-date with the latest advancements in data science and AI. Qualifications:

Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. 3+ years of experience in data science and machine learning. Proficiency in Python or R, and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Experience with data manipulation and analysis tools (e.g., Pandas, SQL). Strong understanding of statistical modeling and algorithms. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.