The Senior Data Scientist works with stakeholders to formulate, gauge and prioritize business use cases, designs experiments, develops predictive/prescriptive models on large-scale datasets (structured and unstructured) to address them, and uses statistics, complex analyses and machine learning models to drive member value and business success. In addition, the Senior Data Scientist cooperates with the Machine Learning and IT DevOps teams to ensure operationalization and productization of solutions generated at an Enterprise level.

Here's what you can expect from the job and what you need to be successful:

Job Duties

• Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes with a focus on delivering business results including improved end-to-end customer experience and financial metrics
• Process, cleanse, and verify the integrity of data and the data pipelines used for analysis
• Provide meaningful insights through advanced analytics models and solutions targeted to respond to critical business issues and accelerate stakeholder growth and success
• Initiate and drive consulting sessions with stakeholders regarding generation, gauging and prioritization of business use cases using advanced analytics. Establish and present metrics on the progress and success of advanced analytics initiatives
• Partner with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas
• Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders
• Initiate and drive projects to completion, including supporting stakeholders in the integration of advanced analytics assets into their operational processes
• Recommend ongoing improvements to methods and algorithms currently in production
• Partner with Analysts and cross-functional business teams to provide expertise on mathematical concepts that are leveraged enterprise-wide
• Act as a subject matter expert in providing technical guidance and mentorship to peer team members on analytics and analysis best practices, solution design as well as lead code/design reviews

Essential Skills

• Minimum 7 years’ professional experience in a data science role, working with large amounts of data, and implementing end-to-end (inception to productization) solutions in the financial services industry
• Expert knowledge and experience in data mining, NLP, predictive and prescriptive analytics approaches
• Deep understanding of machine learning (ML) techniques including but not exhausted to clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, association rules, sequential pattern discovery and deep learning
• Demonstrated experience with common business intelligence and data visualization tools (Tableau preferred)
• Demonstrated experience with cloud-based Data Science platforms (Dataiku Data Science Studio preferred)
• Professional experience with Kafka, Kinesis, Spark
• Professional experience with cloud technologies (AWS, Azure, Google, MLaaS, AIaaS)
• Proficiency in the use of scripting languages and ML platforms (R, Python, TensorFlow)
• Expert knowledge of SQL and databases. Experience with Snowflake preferred
• Demonstrated experience with containers (Kubernetes, Docker), Git
• Expert command of the English language, persuasive written and verbal communication and an ability to effectively tell stories with data
• Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes
• Ability to anticipate needs and prioritize projects in a fast-paced environment with tight deadlines and high-volume peaks while producing high-quality work
• Exemplary communication skills; oral and written, with ability to translate complex statistical and quantitative analysis into simple real-real world inferences for both technical and non-technical audiences
• Expert level analytical and problem-solving skills with attention to detail
• Ability to function effectively in cross-functional teams that include business and technical contributors
• Ability to translate business objectives into actionable analyses
• Demonstrated effective time management skills and the ability to work independently or in a collaborative team environment
• Advanced knowledge of Microsoft Office Suite
• Minimum Education: Master’s or PhD degrees in Mathematics, Statistics, Data Science, Econometrics, or relevant fields
• Certification/License: Data Science related certifications required

Location: Hillsboro, OR 97124 | (HYBRID)

Target Compensation in Hillsboro, OR: $149k - $160k annually + annual bonus

Benefits options include:

• Traditional medical, dental, and vision coverage
• 401K matching up to 5% per pay period
• Accrue up to 17 days of Paid Time Off your first year of employment
• 11 paid federal holidays
• Special employee pricing on lending products such as mortgage, auto, and personal loans (eligibility for special employee pricing is subject to standard account requirements and underwriting criteria)

What makes First Tech different? Click here to learn more!

First Tech MAY consider Visa sponsorship for this position, but only for existing H1B (NO NEW).

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