Data Scientist

World Wide Technology Healthcare Solutions • Maryland Heights, MO

3h • $91,000 - $115,000

About The Position

As a Data Scientist, you will collaborate with a multi-disciplinary team of solution architects and data engineers on a wide range of business problems. You will be an integral part of IT Advanced Analytics group who are a team responsible for building out capabilities across business strategy, analytics, and Cloud.

Data Scientist must be able to:
Execute on all phases of the Data Science project lifecycle with minimal supervision
Interact with business stakeholders to gather requirements and convey project outcomes

Requirements

• A minimum of 4 years' progressive experience in a related field
• Experience working within a Cloud based environment, SaaS
• Experience with git and version control workflows
• Proficient in performance tuning and debugging
• Travel: Up to 10% domestic and international travel
• Masters or equivalent experience in a quantitative field like engineering, computer science, data analytics, Information Technology, Mathematics & statistics or related fields (A combination of education, training and experience may be considered in lieu of a degree)
• 4+ years of experience in data engineering, analytics and data sciences
• Experience with building models and extracting data insights in sales, delivery, finance and service domains. Experience solving probelms in any or all of the following spaces - forecasting, predictive modeling, NLP churn prediction.
• Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
• Familiarity with ML Ops tools/platforms
• Familiarity with Docker and Kubernetes
• Proficiency in one or more visualization tools like Tableau etc.
• Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
• Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
• Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
• Ability to balance and prioritize multiple projects.

Nice To Haves

• Having the following certifications is preferred: SnowPro Core Certification Azure Certified Data Scieentist: Funamental Level AWS: Cloud Practitioner Certified Analytics Professional (CAP) Certification of Professional Achievement in Data Sciences Certified Data Professional Data Scientist Council of America: Data Scientist  Certified ScrumMaster (CSM)

Responsibilities

• Be equal member of a cohesive and selfless team
• Take complete ownership of your work with the goal of exceeding customer expectations
• Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance
• Work closely with internal WWT business, engineering and technology teams
• Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions
• Maintains and enhance a set of critical data models supporting our business use cases
• Maintains complex data pipeline supporting our team's mission in democratizing data and enabling a data driven organization, partnering with our data engineering teams
• Effectively communicate actionable insights at all levels of the organization
• Collaborate closely with stakeholders to improve our view of modeling and decision engines.
• Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyper-parameter tuning for machine learning, and development
• Build and Maintain models for internal customers and business teams, build knowledge and metrics for the product life cycle
• Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
• Enhance the subject matter expertise while working with the various business domains.

Benefits

• Health and Wellbeing: Heath, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees