Data Scientist

Object Technology Solutions, Inc (OTSI) has an immediate opening for a Data Scientist

Location - Hillsboro, Oregon

Job Description:

• Engage with business stakeholders and create meaningful and productive relationships with them to drive business change management, effective communication of analytics, and insights implementation to actions
• Act as a subject matter expert in providing technical guidance and mentorship to peers on analytics and analysis best practices, solution design, as well as lead code/design reviews
• Through initiation and driving of projects, provide meaningful insights using advanced analytics models and solutions targeted to respond to critical business issues and accelerate stakeholder growth and success
• Partner with cross-functional teams 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
• Develop and lead a team of high-performing and engaged employees through effective people leadership practices including regular communication of performance expectations and feedback to employees to maintain high team performance; provide coaching and corrective action as required; actively support employee professional growth and development
• Meet established department metrics; update leader on all major projects and goal progress; research, resolve and communicate operational and employee issues to leader or other business units as appropriate
• Research, design, implement and validate cutting-edge algorithms/models analyzing diverse data sources to achieve targeted outcomes
• Process, cleanse, and verify the integrity of data and the data pipelines used for analysis
• Plan and implement experimental designs, performing statistical analysis on experimental data linked to Credit Union campaigns
• 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
  
  

Essential Skills:

• Minimum 8 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
• 3 years of managing and leading a team of data scientists; preferably in the financial services industry
• Expert knowledge in coding; current hands-on experience in writing, reviewing, and/or correcting code within SQL, Python, and/or Spark
• Expert knowledge and experience in NLP, LLMs, 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 cloud technologies (AWS, Azure, SaaS, MLaaS, AIaaS)
• Proficiency in the use of scripting languages and ML platforms (Python, Spark, Snowpark, TensorFlow, R)
• 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 steering ambiguous 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, telling the story through data, for both technical and non-technical audiences
• Expert level analytical and problem-solving skills with attention to detail
• Ability to motivate a team and operate effectively in an environment with high volumes and tight deadlines across a variety of business partners and technical contributors
• Ability to translate business objectives into actionable analyses
• 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
  

About us:

OTSI is a leading global technology company offering solutions, consulting, and managed services for businesses worldwide since 1999. OTSI serves clients from its 15 offices across 6 countries around the globe with a Follow-the-Sun model. Headquartered in Overland Park, Kansas, we have a strong presence in North America, Central America, and Asia-Pacific with a Global Delivery Center based in India. These strategic locations offer our customers the competitive advantages of onshore, nearshore, and offshore engagement and delivery options, with 24/7 support. OTSI works with 100 enterprise customers, of which many are Fortune ranked, OTSI focuses on industry segments such as Banking, Financial Services & Insurance, Healthcare & Life Sciences, Energy & Utilities, Communications & Media Entertainment, Engineering & Telecom, Retail & Consumer Services, Hi-tech, Manufacturing, Engineering, transport logistics, Government, Defence & PSUs.

Our Center of Excellence:

Data & Analytics

Digital Transformation

QA & Automation

Enterprise Applications

Disruptive Technologies