OmniData is hiring a
Senior Data Scientist in United States

Summary

The job is for a Senior Data Scientist at OmniData, a Portland-based data and analytics consulting firm. The role involves building data science solutions, analyzing large amounts of data to identify business insights, improving data-driven decision making, and collaborating with various teams.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field
• Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field is preferred
• Proven experience as a Data Scientist, Machine Learning Engineer, or similar role
• Strong knowledge of Python, R, Scala, SQL, and other programming languages
• Experience with machine learning algorithms and statistical modeling
• Familiarity with big data technologies such as Hadoop, Spark, or similar platforms

Responsibilities

• Build Data Science solutions from beginning to end by devising and utilizing algorithms and models to mine big-data stores
• Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Data Scientists, Data Engineers, BIE's, and Product Managers
• Deliver with independence on challenging large-scale problems with complexity and ambiguity
• Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
• Improve data-driven decision-making through rigorous statistical analysis and clear communication with stakeholders
• Build Machine Learning and statistical models to solve specific business problems
• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance
• Analyze historical data to identify trends and support optimal decision making
• Apply statistical and machine learning knowledge to specific business problems and data
• Formalize assumptions about how our ML systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed
• Build decision-making models and propose effective solutions for the business problems you define
• Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication
• Implement analytical models in production by collaborating with software developers, data engineers and ML-engineers
• Analytics: The Senior Data Scientist will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues
• Strategy: The Senior Data Scientist also plays a strategic role where he is tasked with formulating new and creative ideas for leveraging the business’s vast collection of data in the databases
• Collaboration: The role of the Senior Data Scientist like the junior data scientist is a collaborative role and, in this position, the Senior Data Scientist works closely with the junior data scientists in developing new and improved machine learning systems, all the way from prototyping to production
• Knowledge gathering and sharing: The Senior Data Scientist also has the responsibility to keep up and provide insights to the data science department and the larger Data and Analytics department on leading data science and analytic practices, trends, design, learning and development cycles, which improves the business’s overall performance by improving data and analytics programs that provide high-impact insights

Preferred Qualifications

Experience in the Microsoft technology stack is a plus