Entry Level Consultant - Data Science
Job Description:
Mazars in US is an independent member firm of Mazars Group, an international audit, tax and advisory organization with operations in over 90 countries. With roots going back to 1921 in the US, the firm has significant national presence in strategic geographies, providing seamless access to 26,000+ professionals around the world. Our industry specialists deliver tailored services to a wide range of clients across sectors, including individuals, high-growth emerging companies, privately-owned businesses and large enterprises.
Mazars works as a single, integrated team, committed to helping our clients and people succeed by respecting who they are and how they work, adapting our approach accordingly. We take pride in what we do and are committed to playing our part in building the economic foundations of a fair and prosperous world.
We are currently looking for a Data Scientist who will join a growing team of exceptional individuals. Ideally, she/he is adept at manipulating large data sets, and at developing and using machine learning models to solve our clients’ challenges.
Job Role
This position offers the opportunity to develop your career within our expanding MTC/Data Services Consulting practice. Your responsibilities will include the following:
- Effectively test and validate the quality, reliability, and accuracy of clients’ data sets
- Develop custom data models and algorithms to apply to data sets (machine learning)
- Leverage predictive modeling techniques using available open-source libraries
- Coordinate with different functional teams to implement, test and monitor new models
- Develop processes and tools to monitor and analyze model performance over time
- Responsible for the quality and performance of generated code, certified by functional and unit tests integrated into the CI chain
- Take part in the design and development of data products
- Embed models in web applications or deploy models as services
Qualifications:
- Experience in one or several of the following areas:
- building REST APIs, data models and predictions exposed as API endpoints
- deploying models and data products in production
- data visualization and dashboarding (PowerBI, Tableau)
- text mining and NLP
- cloud providers is a plus (Azure, AWS, GCP)
- Relevant Master-level degree from a leading university (Data Science, Machine Learning expertise)
- Strong problem-solving skills with an emphasis on product development.
- Proficient in Python, pandas and scikit-learn
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, boosting, neural networks, etc.) and their real-world applicability
- Proficient with Linux ecosystem: Bash, ssh, virtualization, automation
- Experience with databases: SQL & NoSQL (ElasticSearch, Cassandra, Redis, Hive)
- Comfortable working with git for Continuous Integration and Deployment cycles (gitlab-ci, docker-compose)
- Good command of various data mining / data analysis methods and tools, in an open-source environment
- Proven ability to build and implement machine learning models/algorithms and create/run simulations
- Motivation to drive business results using a data-driven approach
- Adequate level of comfort to work with a wide range of stakeholders and functional teams
- Passion for innovation and cutting-edge technologies
- Excellent written and verbal communication skills for coordinating across teams
- Drive to learn and master new technologies and tools in a dynamic, state-of-the-art environment
- Team collaboration skills
- Ability to travel 20%
What We Offer:
- Competitive base salary and incentive compensation plan
- A comprehensive, competitive benefits package that includes medical, dental and life insurance plans, a generous paid days’ off (PDO) plan, and a competitive 401k Plan
- A dynamic, diverse work experience in a growing global organization
- An inclusive, client-centered environment where you can develop new skills, enhance your overall business knowledge and work with world-class professionals
- Intensive customized training, including in-house leadership development programs, continuing professional education courses, and both classroom and on-the-job training
- Opportunity for International Mobility experiences are also made available
Mazars USA LLP is an equal opportunity/affirmative action employer and maintains a drug-free workplace.