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Data Science Director
Posted on 6/21/2022
INACTIVE
Locations
Salinas, CA, USA • United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Data Science
Data Structures & Algorithms
Business Analytics
Leadership
Management
NLTK
SQL
Tensorflow
Natural Language Processing (NLP)
Python
Scikit-Learn
Requirements
  • 12+ years of experience in the area of data science/machine learning specializing in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence/Computer Science
  • Experience in building and operationalizing solutions with embedded models in production to solve real world program
  • Solid programming skills in Python, ML frameworks (e.g., scikit-learn, tensorflow, nltk, sagemaker), Shell Programming and SQL
  • Deep understanding of statistical modelling/machine learning/ data mining concepts
  • Strong analytical and quantitative problem-solving ability
  • Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company
  • Strong stakeholder management skills to work with both internal and external clients through out a solution development lifecycle
  • Excellent team management skills - Have the technical depth to work with junior data scientists while having the ability to zoom out and set aspirational objectives for the team
  • Cross functional leadership: Comfort in leading teams drawn from multiple teams of data science, engineering, operations, business analytics to deliver on a project end-to-end
  • Experience in working with huge datasets and big data technologies
  • Experience with Natural Language Processing/Text Analytics
Responsibilities
  • Identify opportunities to solve client problems of scale using voluminous transaction data
  • Generate optimal solutions that will be work in production within defined constraints of cost, time, quality
  • Lead cross functional teams to solve complex problems and create scalable models/algorithms that will be integrated into Envestnet's tools and products
  • Communicate context, data, solution and implications to the team, senior leadership and stakeholders
  • Lead and guide junior data scientists to deliver results
  • Collaborate cross-functionally with other teams such as the Engineering team, Business Analytics team and Validation team
  • Own delivery of specific models and products with embedded analytics solutions
  • Continuously improve models in production while leveraging new techniques and technology
  • Encourage a culture of innovation within the organization
  • Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested
  • As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk
Desired Qualifications
  • Graduate (preferred) degree in Data Science/Computer Science/ Mathematics/ Statistics or MBA Data Science
  • Experience in any one of the following industries: Wealth Management, Retail and Banking industries
  • Experience with AWS based technology stack and delivering API based solutions
Yodlee

201-500 employees

Data aggregation and analytics platform
Company mission
Yodlee's mission is to help as many Americans as possible to see their complete financial data.
Benefits
  • Medical (High Deductible Health Plan, Kaiser HMO and PPO), Dental, Vision
  • 401(k) Match
  • On-site Flu Shots
  • On-site Biometrics Screening
  • Employee Assistance Program (EAP)
  • Life Insurance and AD&D
  • Short and Long Term Disability
  • On-site Gym
  • Fully Stocked Kitchen
  • Tuition Reimbursement
  • Employee Referral Bonus
  • Casual Dress Code
  • Mobile Reimbursement