Data Scientist

• Company HP
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

HP is the world’s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.

We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works.

At HP, the future is yours to create!

Data Scientist - Job Description

Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Develops expertise and practical knowledge of applications within business environment. Acts as team member by providing information, analysis, and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities

• Works with the team to mine & explore data using modern tools and programming languages like Python / R.
• Apply advanced statistical and predictive modeling techniques to build, maintain, and improve decision systems
• Develop innovative and effective approaches to solve analytics problems and communicate results and methodologies
• Defines and implements models to uncover patterns and predictions creating business value and innovation
• Ability to translate business needs to technical requirements, propose and validate solutions
• Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives
• Ties insights into effective visualizations communicating business value and innovation potential.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives
• Assures accuracy, integrity, and compliance of cleansed data.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.
• Using statistics, mathematics, algorithms and programming languages like Python, R, SQL etc.
• Power BI knowledge in necessary to visualize the analytical insight to share with stakeholders.

Knowledge & Skills

• Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies
• Ability to define and create complex models to pull valuable insights, predictions and innovation from data
• Effectively and creatively tell stories and create visualizations to describe and communicate data insights
• Python, Numpy, Pandas, Matplot, Sci Kit learn, One or more Deep learning libraries (Keras, Pytorch, Tensorflow etc.)
• Machine Learning algorithms (Decision Trees, Random Forest, Gradient boosting, Naïve Bayes, PCA etc.)
• Deep Learning architectures (ResNet, Inception, VGGNet, CNN, RNN etc.)
• Math (Matrices, Calculus, Linear Algebra, Probability)
• Statistical Techniques (Linear/Logistic regression, Hypothesis testing, forecasting etc.)
• Advanced knowledge of Excel and Access preferred (Arrays, VBA etc.)
• Knowledge of SQL preferred
• Excellent written and verbal communication skills; mastery in English and local language
• Ability to effectively communicate data insights and negotiate options at senior management levels.

Scope & Impact

• Collaborates with peers, junior engineers, data scientists and project team.
• Work on multiple projects requiring data engineering & data science solutions development.
• Drives design innovation.

Education & Experience

• Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Statistics, Computer Science, or equivalent.
• Typically, 1-3 years’ experience including graduate or postgraduate research.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in India.

About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.

So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

Our history: HP’s commitment to diversity, equity and inclusion – it's just who we are.

From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive!