Overview
On Site
Depends on Experience
Full Time
No Travel Required
Able to Provide Sponsorship
Skills
Data Science
Amazon Web Services
Big Data
Google Cloud Platform
Machine Learning (ML)
Programming Languages
SQL
Python
TensorFlow
Tableau
matplotlib
Job Details
Experience:
3-7 years of professional experience in data science or a related field.
Proven track record of developing and deploying machine learning models and advanced analytics.
Technical Skills:
Proficiency in programming languages such as Python or R.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn, PyTorch).
Strong understanding of statistical methods, data modeling, and predictive analytics.
Familiarity with big data technologies (e.g., Hadoop, Spark) and relational databases (e.g., SQL, PostgreSQL).
Experience with data visualization tools (e.g., Tableau, Power BI, or matplotlib).
Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) for data processing and model deployment.
Soft Skills:
Strong analytical and problem-solving skills.
Excellent communication skills to translate technical findings into actionable insights.
Ability to work both independently and collaboratively in a fast-paced environment.
Strong attention to detail and a commitment to data accuracy and integrity.
Education:
Master s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Relevant certifications in data science or machine learning are a plus.
Master s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Relevant certifications in data science or machine learning are a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.