At HP, talent is our criteria. Join us in reinventing the standard for diversity and inclusion. Bring your awesomeness, and just be you!
We are looking for a Lead Machine Learning and Data Sciences in the media and marketing group of a top brand, fortune 500 company in Silicon Valley.
The individual will be responsible for building customer profiles, developing predictive models, and developing segmentation approaches to enable the planning and execution of marketing and advertising campaigns for both B2B and B2C product markets.
The Lead Machine Learning and Data Scienceswill be expected to analyze and develop algorithms, models and new approaches to solve business and marketing decision problems using and mining large sets of data both structured and unstructured.
Additionally, the individual will have the opportunity to work and collaborate with partners and other business stakeholders in the organization.
Mines data using modern tools and programming languages.
Defines and implements models to uncover patterns and predictions creating business value and innovation.
Works with the business to understand the business domain perspective.
Effectively tells stories with the data using visualization tools / methods to demonstrate insight impact and business value.
Assures accuracy, integrity, and compliance of cleansed data.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
Leads a project team of data science professionals
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data science team for all phases of larger and more-complex development projects.
Provides guidance, training and mentoring to less experienced staff members.
Knowledge & Skills
Using statistics, mathematics, algorithms and programming languages.
Understanding of how to manage disparate unstructured and structured data in a distributed environment.
Fluent in structured and unstructured data and modern data transformation methodologies.
Ability to create models to pull valuable insights from data.
Create stories and visualizations to describe and communicate data insights.
Ability to use creativity to spot trends and tease out patterns in large datasets.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate data insights to project team and leadership and negotiate options.
Proficiency with SQL and hands-on skills in an analytics platforms and software such as R, Python, Scala or Java.
Ability to work with and fetch data from big data file storage systems like hdfs, aws stacks, api pulls.
Ability to bring in new ML and AI tools and capabilities as well as big data framework tools to help build, automate and scale the models and algorithms.
Ability to build end-to-end solutions for showcasing value to stakeholders.
Scope & Impact
Collaborates with peers, junior engineers, data scientists and project team.
Typically interacts with high-level Individual Contributors, Managers and Program Teams.
Leads a project requiring data engineering solutions development.
Education & Experience
Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, Data Sciences, Statistics, Engineering or equivalent.
Typically 4-6 years’ experience including graduate or postgraduate research.
Some background in developing predictive modeling algorithms using Python / R, along with other tools in the Apache Big Data stack.
Good understanding of statistical and machine learning algorithms such as Regression, Classification, Clustering or Neural Networks.
Candidates with prior industry experience preferred.