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Data Scientist/Data Analyst
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vectorsoft
Texas City, TX (In Person)
$119,600 Salary, Full-Time
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Job Description
Overview Join our innovative team as a Data Scientist/Data Analyst and unleash the power of data to drive strategic decisions and uncover actionable insights. In this dynamic role, you will harness advanced analytics, machine learning, and big data technologies to solve complex problems across diverse business domains. Your expertise will help shape data-driven strategies, optimize processes, and deliver impactful solutions that propel our organization forward. This paid position offers an exciting opportunity to work with cutting-edge tools and collaborate with talented professionals dedicated to pushing the boundaries of data science and analytics. Duties Develop and implement machine learning models using frameworks such as TensorFlow, Spark MLlib, or other AI tools to solve real-world challenges. Design, build, and optimize scalable ETL pipelines for data ingestion, transformation, and loading into data warehouses or lakes utilizing Talend, Hadoop, or Bash scripting. Conduct data mining and exploratory data analysis on large datasets to identify patterns, trends, and anomalies that inform business strategies. Perform database design and management using SQL, SAS, or NoSQL solutions to ensure efficient data storage and retrieval. Apply unsupervised learning techniques for clustering, dimensionality reduction, and natural language processing tasks to extract valuable insights from unstructured data sources. Collaborate on model training, validation, deployment, and monitoring processes to ensure high performance and accuracy in production environments. Utilize visualization tools like Looker or other BI platforms to communicate findings clearly and effectively to stakeholders. Engage in cross-functional teamwork to integrate AI solutions into existing systems while ensuring compliance with best practices in data security and governance. Requirements Proven experience with programming languages such as Python, R, Java, or C for data analysis and model development. Strong knowledge of machine learning frameworks including TensorFlow, Spark MLlib, or similar platforms. Hands-on experience with big data technologies like Hadoop and Spark for processing large-scale datasets efficiently. Familiarity with cloud services such as AWS for deploying scalable AI models and managing datasets in cloud environments. Proficiency in SQL for database querying along with experience in database design principles. Understanding of natural language processing techniques for analyzing text-based data sources. Ability to perform complex data mining tasks using SAS or similar statistical tools. Knowledge of advanced analytics concepts including model training, deployment strategies, and unsupervised learning methods. Experience working with ETL tools like Talend or scripting languages such as Bash (Unix shell) for automation tasks. Strong analytical mindset combined with excellent communication skills to translate technical insights into strategic recommendations. Embark on this journey where your expertise will directly influence innovative projects across our organization!