Data Scientist

We are seeking a dynamic and innovative Data Scientist to join our forward-thinking analytics team. In this role, you will harness the power of data to drive strategic decision-making, develop advanced machine learning models, and implement AI solutions that transform complex data into actionable insights. Your expertise will help shape the future of our data-driven initiatives, ensuring scalable, efficient, and impactful outcomes across various business domains. This paid position offers an exciting opportunity to work at the forefront of data science and artificial intelligence in a collaborative environment committed to continuous innovation., * Design, develop, and deploy machine learning models utilizing frameworks such as TensorFlow and PyTorch to solve real-world problems.

• Conduct statistical analysis for research purposes, ensuring accuracy and validity of findings through rigorous model evaluation and validation techniques.
• Implement unsupervised learning algorithms for clustering, anomaly detection, and pattern recognition to uncover hidden insights within large datasets.
• Manage ETL (Extract, Transform, Load) processes to prepare big data from diverse sources for analysis using tools like Talend and Apache Spark.
• Develop scalable data pipelines using Hadoop, Spark implementation, and cloud services such as AWS Machine Learning platforms to handle big data efficiently.
• Collaborate with cross-functional teams to design database schemas and optimize SQL databases for high-performance analytics.
• Apply natural language processing (NLP) techniques for text analysis and generate AI models that support generative AI applications.
• Deploy machine learning/AI-based analysis solutions into production environments with a focus on scalability and robustness.
• Utilize data mining techniques and linked data principles to enhance data integration and discover new relationships across datasets.
• Use visualization tools like Looker to communicate complex analytical findings clearly to stakeholders.

• Proven experience with Python, R, Java, C, or Bash (Unix shell) for data analysis, model development, or automation tasks.
• Strong knowledge of machine learning frameworks such as TensorFlow, Spark MLlib, or similar platforms.
• Hands-on experience with cloud-based AI implementation using AWS or other cloud services specializing in machine learning solutions.
• Expertise in statistical modeling, statistical analysis for research, and model evaluation techniques.
• Familiarity with big data technologies including Hadoop ecosystem components such as HDFS and MapReduce.
• Experience designing databases and working with SQL databases for analytics purposes.
• Knowledge of natural language processing (NLP), generative AI models, and their deployment in real-world applications.
• Ability to perform data mining on large datasets using tools like SAS or Talend while ensuring data quality and integrity.
• Strong analytical skills combined with excellent problem-solving abilities in a fast-paced environment focused on AI/ML innovation.

Join us in shaping the future through cutting-edge data science! This role offers an energetic environment where your skills will directly impact our technological advancements and business success-fueling your growth while pushing the boundaries of what's possible with AI and machine learning technology.

Pulled from the full job description

• 401(k)
• Health insurance
• Retirement plan
• 401(k) matching
• Paid time off
• Vision insurance
• Health savings account, * 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Health insurance
• Health savings account
• Paid time off
• Retirement plan
• Vision insurance