Sr. Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Are you passionate about technology and looking to work in an agile start-up environment that is built on the brand recognition, solution capabilities, and global reach of a world-class technology pioneer? The HP Personal System Services (PSS) team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning.

The AI Systems team within PSS is seeking a forward-thinking Data Scientist who is passionate about driving innovation at scale, solving real-world customer issues through AI/ML and delivering stellar customer experiences using one of the largest datasets in the world.

You will be expected to be hands on and routinely exercise independent judgment in delivering of new Data Science / Machine Learning insights.

Key Responsibilities

• Work closely with product management to understand product vision and user engagement strategy for the HP TechPulse platform.
• Identify AI opportunities, hands-on prototype and iterate models and deploy them across millions of devices.
• Work with Data Scientists and Software Engineers to deliver on the Data Science Roadmap in a fast-paced environment.
• Balance the business needs with technical constraints by building deep subject matter expertise for your area.
• Maintain the team's focus on strategy and goal-oriented results when tackling complex problems.
• Provide regular updates about program progress, issues, and risks to key stakeholders.
• Act as subject matter expert through internal training and demonstration of key product functionality for support, sales, onboarding, and other cross-functional teams.
• Comfortable with hands-on, day-to-day problem solving, implementing quick and effective action plans to meet short-term priorities and emerging opportunities.
• Influence decision making and problem solving across teams.\

Knowledge and Skills:

Minimum:

• Passion for data science & delivering data driven outcomes.
• Extensive experience using statistics, mathematics, algorithms, and programming languages.
• Expert knowledge of SQL, Python and PySpark.
• Strong analytical and problem-solving skills.
• Experience building Machine Learning Models.
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
• Deep understanding of Machine Learning concepts and tools.
• High EQ, ability to deal with ambiguity and work collaboratively in a high paced environment.
• Create stories and visualizations to describe and communicate data insights in a clean and simple manner.
• Excellent interpersonal and project management skills; ability to work across in person as well as virtual team environments.
• Hands-on technical skills with the inquisitiveness to learn products, work with them, and provide recommendations to drive continuous improvement.
• Able to work independently yet collaborate cross-functionally in a global and multicultural environment
• Able to manage multiple work streams effectively and provide timely updates to leadership
• Comfortable and effective working in new areas that require experimentation and rapid problem solving

Preferred:

• Experience in one or more deep learning frameworks such as Tensorflow/Keras, or PyTorch.
• In-depth knowledge of one or more deep learning areas such as computer vision or natural language processing
• Experience in Cloud computing specially AWS.

Education and Experience:

• Mater’s degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
• 4+ years of industry experience in predictive modelling and data science roles.

In accordance with applicable law, an offer of employment is conditional upon you providing proof that you are fully vaccinated against COVID-19 (as defined by the CDC) as of your first day of employment.