Data Analyst/Data Scientist

The Mom Project is excited to partner with PwC in their search for a Data Analyst/Data Scientist. This role is 100% remote.

PwC is one of the leading professional services networks in the world, helping organizations and individuals create the value they are looking for, by delivering quality Assurance, Tax, and Advisory services. PwC is a community of solvers combining human ingenuity, experience, technology, and products to help organizations build trust and deliver sustained outcomes.

Although PwC comes from different backgrounds and cultures across the firm, their values are what they have in common. They care for people and are committed to inclusion, understanding, and respect for all. PwC is proud to offer benefits and support to moms' career growth such as career building and professional mentorship, flexible hours, comprehensive medical benefits with family in mind, emergency backup child care reimbursement, and educational reimbursement programs, among others!

Responsibilities

• Explore new analytical technologies and evaluate their technical and commercial viability
• Stay abreast of new AI research from leading labs by reading papers and experimenting with code
• Build ML pipelines that ingest, clean data, and make predictions
• Work in (6) 2-week sprint cycles to develop proofs-of-concept and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients
• Build ML models and systems, interpret their output, and communicate the results
• Test and reject hypotheses around data processing and ML model building
• Apply ML techniques to address a variety of problems (e.g. consumer segmentation, revenue forecasting, image classification, etc.)
• Develop innovative solutions and perspectives on AI that can be published in academic journals/arXiv and shared with clients
• Experiment, fail quickly, and recognize when you need assistance vs. concluding a technology is not suitable for the task
• Focus on Artificial Intelligence (AI) and ML techniques that are broadly applicable across all industries
• Work across various data mediums: text, audio, imagery, sensory, and structured data
• Work across the entire pipeline: data ingestion, feature engineering, Machine Learning (ML) model development, visualization of results, and packaging solutions into applications/production-ready tools
• Move models from development to production; conducting lab research and publishing work

Required Qualifications

• 2 years of relevant work experience
• Demonstrated thorough abilities and/or a proven record of success in the Essential 8: AI, Blockchain, Augmented Reality, Drones, The Internet of Things (IoT), Robotics, Virtual Reality, and 3D printing
• Demonstrated knowledge in Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow
• Demonstrated knowledge in Visualization tools: Python (Matplotlib, Seaborn, bokeh, etc.), JavaScript (d3), third-party libraries (Power BI, Tableau, Data Studio)
• Understanding of open-source deep learning frameworks (PyTorch, Keras, Tensorflow)
• Demonstrated knowledge in productionization and containerization technologies: GitHub, Flask, Docker, Kubernetes, Azure DevOps, GCP, Azure, Amazon Web Services (AWS)
• Understanding of ML algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique
• Demonstrated knowledge in Data Storage Technologies: SQL, NoSQL, Postgres, Neo4j, Hadoop, cloud-based databases such as Google Cloud Platform (GCP) BigQuery, and different storage formats (e.g. Parquet, etc.)
• Understanding of text pre-processing and normalization techniques, such as tokenization, and Part of Speech (POS) tagging, and knowledge of Named Entity Extraction, Document Classification, Topic Modeling, Text summarization, and concepts behind the application
• Demonstrated knowledge in Programming languages: Python, R, Java, JavaScript, C++, Unix
• Demonstrated knowledge in natural language understanding/natural language processing (NLU/NLP) domain: Sentiment Analysis, Chatbots and Virtual Assistants, Text Classification, Text Extraction, Machine Translation, Text Summarization, Intent Classification, Speech Recognition, Stateless Transport Tunneling (STT), Text-to-Speech (TTS)
• Demonstrated knowledge in Machine Learning Libraries: Python (sci-kit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark Machine Learning Library (MLlib), Natural Language Toolkit (NLTK), spaCy

Minimum Degree Required

• Bachelor Degree

Additional Educational Requirements

• Bachelor's Degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college

Degree Preferred

• Master Degree

Preferred Fields Of Study

• Computer and Information Science, Mathematics, Computer Engineering, Artificial Intelligence and Robotics, Mathematical Statistics, Statistics, Economics, Operations Management/Research

Additional Educational Preferences

• Ph.D. highly preferred

Perks/Benefits Information

• Career Milestone Awards
• Paid time off, holidays, extended holiday time off, year-round flex days
• Parental leave, phased return-to-work, paid family care leave, and family-building support
• Emergency backup childcare reimbursement program
• Medical, Dental, Vision, & Health savings accounts
• 401(k) Savings Plan and Retirement Wealth Builder Plan
• Insurance & financial programs
• Monthly phone coverage
• Transparency around compensation and earnings potential

The salary range for this position is $105,000 - $115,000.00 per year.