Data Scientist

We are seeking a dynamic and innovative Data Scientist to join our team and drive data-driven decision-making across the organization. In this role, you will harness the power of big data, machine learning, and advanced analytics to uncover insights, develop predictive models, and optimize business processes. Your expertise will enable us to leverage cutting-edge AI technologies and big data frameworks to solve complex problems, improve operational efficiency, and enhance customer experiences. This position offers an exciting opportunity to work with a diverse set of data tools and frameworks in a fast-paced environment committed to innovation., * Design, develop, and implement machine learning models using frameworks such as TensorFlow, Spark MLlib, or similar tools to solve real-world problems.

• Conduct data mining and exploratory data analysis on large datasets stored across distributed systems like Hadoop and Spark.
• Build scalable ETL pipelines for data ingestion, transformation, and loading using Talend, Bash scripts, or other automation tools.
• Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions utilizing SQL, Python, R, or Java.
• Deploy machine learning models into production environments ensuring robustness and scalability through cloud platforms like AWS.
• Apply natural language processing (NLP) techniques for text analysis and linked data integration to enhance insights.
• Design and maintain database schemas optimized for analytics workloads while ensuring data quality and security standards are met.
• Utilize visualization tools such as Looker to present findings clearly and compellingly to stakeholders.
• Stay current with advancements in AI, quantum engineering applications in data science, and emerging big data technologies to continuously improve analytical capabilities.

Do you have experience in Distributed computing?, * Proven experience in developing machine learning models with frameworks like TensorFlow or similar.

• Strong proficiency in programming languages including Python, R, Java, C, or VBA for data analysis and model development.
• Hands-on experience with big data tools such as Hadoop, Spark, and related ecosystems for large-scale data processing.
• Expertise in SQL for database querying along with experience designing efficient database schemas for analytics purposes.
• Familiarity with cloud services such as AWS for model training and deployment in scalable environments.
• Knowledge of natural language processing (NLP), AI techniques, and unsupervised learning methods for complex pattern recognition.
• Experience working with ETL tools like Talend or scripting languages such as Bash (Unix shell) for automation workflows.
• Background in analytics that includes data mining, model validation, deployment strategies, and performance tuning.
• Prior exposure to SAS or similar statistical analysis software is a plus but not mandatory. Join us if you're passionate about transforming raw data into actionable insights through innovative AI solutions!

Pulled from the full job description

• Paid time off
• Flexible schedule, * Flexible schedule
• Paid time off