Position Summary
Sr. Data Scientist
As a Senior Data Scientist, you will focus on supporting the Data Science group and actively participate in all the processes of a data science project, with a focus on generating and selecting features, creating models, and boosting their performance and accuracy, as well as guiding and supervising more junior resources.
Specifically, you will be expected to:
- Apply rigorous data science practices on your specific assigned workstreams; particularly:
- Perform exploratory data analysis to understand relationships and opportunities to influence outcomes, while being able to quickly iterate common feature transformation and model types to find the best predictive models
- Develop proofs of concept to verify your ideas, including counterfactual explanations for interpretability
- Collaborate daily with Data Science Managers to solve complex data science problems that emerge within your workstream and others.
- Collaborate with subject matter experts to obtain an understanding of the underlying business problem, and to define and refine the corresponding technical solution.
- Be a key contributor to the planning and direction of a project and effectively prioritize goals and objectives
- Identify opportunities to apply the latest advancements in machine learning and artificial intelligence to build, test, and validate models
- Make impactful contributions to internal discussions on emerging machine learning methodologies
- Effectively explain technical concepts
- Develop and embed automated processes for model validation, deployment, and implementation
Qualifications
Required:
- Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
- 3+ years of industry experience designing, developing, and deploying machine learning models
- Experience with cloud-based ecosystems (Azure, GCP, AWS)
- Extensive experience with Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)
- Solid understanding of machine learning model development life cycles
- Demonstrated understanding of machine learning model performance assessment
- Experience with version control practices and tools (Git, etc.)
- Experience using common machine learning and deep learning libraries and techniques, including TensorFlow, PyTorch, and big data platforms
- Fluency in both structured and unstructured data (SQL, NOSQL)
- Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
- Excellent verbal and written communication skills
- Ability to travel when necessary
Preferred:
- Master’s degree or PhD in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
- Extensive experience with Microsoft Azure, including certification in machine learning
- Experience with machine learning pipelines (Azure ML)
- Experience in an Agile working environment and related project management tools (Jira, Azure DevOps, etc.)
- Public AI-related projects you have developed available on GitHub
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.
Our purpose
Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact.
Professional development
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Requisition code: 143203