Tbwa Chiat/Day Inc
Senior Data Scientist Remote - Portland, OR
Tbwa Chiat/Day Inc, Portland, Oregon, United States, 97204
OmniData is a Portland-based Data and Analytics focused consulting firm leveraging the Microsoft technology stack to help organizations build their Modern Data Estates, designed to serve their digital innovation needs for many years to come. To do this, we apply deep experience in Solution Architecture, Data, Analytics, and technology to simplify the complex.
OmniData is offering you the opportunity to work with the entire lifecycle of large Data Projects, focused on next generation data warehousing, with surface points to Analytics, Machine Learning and AI. We offer a collaborative work culture that enables you to produce client results with a safety net from your team. You will get to work closely with very experienced consultants who will be able to provide mentorship and career guidance. At the same time, you will be rewarded for learning fast and executing within our teams to provide solutions for OmniData clients.
The Role
This Senior Data Scientist will synthesize and leverage the business’s data to enhance the business’ capabilities for overall goal achievement. The Senior Data Scientist is instrumental in helping the business continue its evolution into an analytical and data-driven culture. Combine your mathematical and statistical knowledge, natural curiosity into improving business decision-making processes, and computer engineering skills to build value-driven solutions.
This role of the Senior Data Scientist supports relevant stakeholders through quantitative analytics and the application of appropriate advanced analytics for the business’s key initiatives.
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 tailored to business needs, and collaborating with Data Scientists, Data Engineers, BIEs, 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.
Build decision-making models and propose effective solutions for the business problems you define.
Conduct written and verbal presentations to share insights with audiences of varying levels of technical sophistication.
Implement analytical models in production by collaborating with software developers, data engineers, and ML-engineers.
Other Responsibilities
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. In this capacity, the Senior Data Scientist builds and maintains a large-scale analytics infrastructure to be used across the business and consistently conducts research, design, implementation, and validation of cutting-edge algorithms to analyze diverse data sources in order to enable desired business outcomes. The Senior Data Scientist also designs, develops, and implements data management systems of analytic frameworks for the business’s data. S/He also applies advanced statistical capabilities and delivers statistical models, for example, consumer predictive value, churn, segmentation and profiling, association models, and so forth. 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. In this capacity, the Senior Data Scientist also works with large sets of data and establishes accurate and scalable analytics systems across varied applications. S/He further develops and implements state-of-the-art analytical algorithms for object detection, segmentation, classification, and recognition. The Senior Data Scientist is also tasked with modeling complex insights and identifying business opportunities using algorithmic, statistical, visualization, and mining techniques. It is also the Senior Data Scientist’s responsibility to translate business requirements into quick prototypes and enable the development of big data capabilities, frameworks, and governance processes in the department and the business at large. Collaboration:
The role of the Senior Data Scientist is collaborative, working closely with junior data scientists in developing new and improved machine learning systems, all the way from prototyping to production. These systems are then forwarded to data science management for review and approval. S/He will also work with senior management and key stakeholders in identifying and prioritizing actionable, impactful insights across a variety of core business fronts, driving informed decision-making across the business. Knowledge gathering and sharing:
The Senior Data Scientist also has the responsibility to keep up and provide insights to the data science department on leading data science and analytic practices, trends, design, learning, and development cycles, which improves the business’s overall performance. Other Duties: The Senior Data Scientist also performs similar duties as deemed fit for the proper execution of his duties and as delegated by the MD/HoD. OmniData Is An Equal Opportunity Employer And All Qualified Applicants Will Receive Consideration For Employment Without Regard To Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status, Or Any Other Characteristic Protected By Law.
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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. In this capacity, the Senior Data Scientist builds and maintains a large-scale analytics infrastructure to be used across the business and consistently conducts research, design, implementation, and validation of cutting-edge algorithms to analyze diverse data sources in order to enable desired business outcomes. The Senior Data Scientist also designs, develops, and implements data management systems of analytic frameworks for the business’s data. S/He also applies advanced statistical capabilities and delivers statistical models, for example, consumer predictive value, churn, segmentation and profiling, association models, and so forth. 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. In this capacity, the Senior Data Scientist also works with large sets of data and establishes accurate and scalable analytics systems across varied applications. S/He further develops and implements state-of-the-art analytical algorithms for object detection, segmentation, classification, and recognition. The Senior Data Scientist is also tasked with modeling complex insights and identifying business opportunities using algorithmic, statistical, visualization, and mining techniques. It is also the Senior Data Scientist’s responsibility to translate business requirements into quick prototypes and enable the development of big data capabilities, frameworks, and governance processes in the department and the business at large. Collaboration:
The role of the Senior Data Scientist is collaborative, working closely with junior data scientists in developing new and improved machine learning systems, all the way from prototyping to production. These systems are then forwarded to data science management for review and approval. S/He will also work with senior management and key stakeholders in identifying and prioritizing actionable, impactful insights across a variety of core business fronts, driving informed decision-making across the business. Knowledge gathering and sharing:
The Senior Data Scientist also has the responsibility to keep up and provide insights to the data science department on leading data science and analytic practices, trends, design, learning, and development cycles, which improves the business’s overall performance. Other Duties: The Senior Data Scientist also performs similar duties as deemed fit for the proper execution of his duties and as delegated by the MD/HoD. OmniData Is An Equal Opportunity Employer And All Qualified Applicants Will Receive Consideration For Employment Without Regard To Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status, Or Any Other Characteristic Protected By Law.
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