Job Description
Our client is on a mission to solve the biggest, most intractable challenges of enterprise software. They envision the rise of the Self-Driving Enterprise: a more autonomously functioning business with a central operating system that connects and orchestrates business operations. Due to rapid growth, they are looking to hire a Director of Data Science to grow their operation across the US.
You will be based out of the Mountain View headquarters. You will be working on a new and challenging data science applications, using Machine Learning to solve complex business problems.
Responsibilities include:
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- Leading a Data Science function and having experience of managing teams of 5-15 globally
- Collaborate with other team members to build data-science products and services
About You
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- Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred.
- 8-15 years of professional experience as a Machine Learning Engineer/Data Scientist; preferably in a product development setting.
- Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach.
- Hands-on experience with machine learning toolkits such as scikit-learn and TensorFlow.
- Hands-on experience with software development, including translating ML models into scalable production services.
- Experience working with cloud platforms such as AWS, and Google Cloud Platform and distributed computing technologies such as Apache Spark.
If you share a passion for building the next generation of enterprise software and implementing it for the most sophisticated customers in the world, you’ve met your match. Our client is Headquartered in Mountain View, California, Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia).
Aera Technology is an Equal Employment Opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
