Data Scientist

Description -

Job Summary
• This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling, and validation. The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development.

Responsibilities
• Leads data mining using modern tools and programming languages.
• Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
• Strategizes models to uncover patterns and predictions creating business value and innovation.
• Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• 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.

Education & Experience Recommended
• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

Qualifications  

• Experience in data science & delivering data driven outcomes, with a strong focus on generative AI and LLMs, such as transformers and diffusion models.

• Expert knowledge of Python, SQL, and distributed computing frameworks

• Experience in fine-tuning Large Language Models, Prompt Engineering and implementing Generative AI solutions in production environments.

• Proficiency in one or more deep learning frameworks, such as PyTorch, Keras or TensorFlow.

• Strong background in NLP techniques and libraries (e.g., Hugging Face, spaCy)

• Experience using various machine learning algorithms (e.g., classification, regression, clustering) to develop and deploy predictive models

• Ability to handle and process large-scale datasets, including unstructured text and image data.

• Strong analytical, problem-solving, and critical-thinking abilities to translate complex AI concepts into business value

• Demonstrated leadership in data science projects, including visualizing data and effective communication of insights and results

• Ability to deal with ambiguity and work collaboratively in a high paced environment.

• Excellent interpersonal and project management skills; ability to work across in-person and virtual team environments.

Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Big Data
• Computer Science
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Deep Learning

• Machine Learning

• Natural Language Processing
• Generative AI
• Python (Programming Language)
• R (Programming Language)
• SQL (Programming Language)
• Statistical Modeling
• Large Language Models (LLM)
• PowerBI (Business Intelligence Software)

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Types of tools, software, hardware

• Programming Languages: Python, SQL

• Machine Learning Frameworks: PyTorch, TensorFlow, Hugging Face Transformers

• Cloud Platforms: AWS, Google Cloud Platform, or Microsoft Azure, Databricks

• Data Visualization: Power BI, Matplotlib, Seaborn

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement