Data Scientist

Are you a data-driven professional passionate about turning raw data into actionable insights? We are seeking a Data Scientist to join our team in Phoenix, AZ. In this role, you will apply your analytical expertise and machine learning knowledge to solve complex business challenges, drive innovation, and deliver data-backed results. Key Responsibilities: • Analyze and interpret complex datasets to identify trends, patterns, and insights that support decision-making (Source: DFST2025 - Midyear Update.pdf). • Design and implement predictive models and machine learning algorithms to optimize processes and improve business performance. • Collaborate with cross-functional teams, including data analysts, engineers, and business leaders, to identify and solve key business problems. • Develop and maintain databases, data pipelines, and ETL processes. • Visualize data findings through dashboards and reports to effectively communicate insights to both technical and non-technical stakeholders. • Ensure data quality, accuracy, and privacy standards are met in compliance with company and regulatory standards. • Stay current with emerging technologies, tools, and best practices in data science and machine learning. Ideal Qualifications: • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. • Proven experience in data science, machine learning, or related roles. • Proficiency in programming languages such as Python, R, or Java. • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Knowledge of data visualization tools like Tableau, Power BI, or similar platforms. • Extensive experience with databases and query languages; familiarity with SQL and NoSQL databases such as MySQL, MongoDB, etc., is a plus. • Strong problem-solving skills and the ability to translate complex datasets into actionable insights Preferred Attributes: • Excellent communication and collaboration skills. • Ability to work independently while contributing to a team-oriented environment. • Passion to stay ahead of technological developments and learn new analytical approaches. • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.