What are the responsibilities and job description for the Data scientist position at Geotex Engineering, LLC?
Job Description
Job Description
Role : Data Scientist
Location : US Remote ( Available to residents Only )
As a Data Scientist, you will be responsible for interpreting complex data and turning it into valuable insights for the organization. You will utilize various statistical and machine learning techniques to develop models, algorithms, and predictive analytics that support data-driven decision-making. Your role will involve collecting, analyzing, and interpreting large datasets to identify trends, patterns, and correlations that will drive business strategy and performance. Collaborating with cross-functional teams, you will be instrumental in developing data-driven solutions to enhance products and services, optimize operations, and improve customer experiences. Additionally, you will stay updated on the latest trends and technologies in data science to continuously enhance the organization's analytical capabilities and drive innovation.
Key Responsibilities :
Collect, clean, and manipulate large datasets for analysis
Apply statistical and machine learning techniques to develop predictive models and algorithms
Interpret data and communicate insights to key stakeholders
Collaborate with teams across the organization to drive data-driven decision-making
Develop data visualization tools to present findings in a clear and compelling manner
Stay abreast of new technologies and methodologies in data science to enhance analytical capabilities
Ensure data quality, integrity, and security in all processes
Requirements :
This role is open to U.S. residents only
Bachelor's or Master's degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or related disciplines
Proven experience in data analysis, modeling, and statistical programming
Strong knowledge of statistical methods, machine learning algorithms, and data visualization tools
Proficiency in programming languages such as Python, R, or SQL
Excellent communication and problem-solving skills
Ability to work effectively in a collaborative, cross-functional environment
Familiarity with big data technologies and tools like Hadoop, Spark, or TensorFlow is a plus
