Data Scientist

DataJobs; Austin (TX); Hybrid; USD 120,000 - 170,000; Full time

Job summary

DataJobs in Austin, Texas seeks a data analytics engineer/scientist to design, develop, and program methods to consolidate and analyze unstructured big data, turning findings into actionable insights for client services and product enhancement.

You will collaborate with product and service teams to ask the right questions, create automated data pipelines, and communicate insights to managers. Telecommuting options may be available.

Qualifications

• Experience with AI/ML and data science techniques.
• Strong knowledge of big data, statistics, and data mining.
• Proficiency in Python programming.
• Experience with data visualization tools that translate analyses into charts and actionable insights.

Responsibilities

• Design and implement methods to analyze unstructured big data.
• Collaborate with product and service teams to define data questions.
• Develop software and automated processes to cleanse and integrate data.
• Identify meaningful insights from large datasets.
• Interpret and communicate insights to product and business managers.
• May telecommute.

Skills

AI/ML

Big data & statistics

Python

Data visualization

Education

Master's degree

Job description

Job Duties

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources, producing actionable insights and solutions for client services and product enhancement.
• Collaborate with product and service teams to identify questions and issues suitable for data analysis and experiments.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Identify meaningful insights from large data and metadata sources.
• Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
• May telecommute.

Required Qualifications

• AI (Artificial Intelligence) and machine learning
• Big data, statistics, data mining, data science, and statistical modeling
• Python
• Data visualization tools that translate analyses into charts and actionable insights

Education

Employer will accept a Master’s degree in Computer Science, Engineering, or a related technical field.