Data Scientist (Tech Lead)

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud™, integrates with your existing systems to digitize, augment, and automate decisions in real time. Aera helps enterprises around the world transform decision making – delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world’s best-known brands.

Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision-making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable.

Responsibility

• Lead projects in Data Science. Collaborate with Engineering and Client Success teams to understand requirements, prioritize projects, and ensure seamless integration of data science models into our product.
• Designing, implementing, monitoring and maintaining Data Science systems that power the Aera platform.
• Research and build new statistical/machine-learning models.
• Performing Data Analysis for a variety of business problems across different domains. Clearly presenting the results to stakeholders and management.
• Ensuring quick support and resolution of issues raised in Data Science skills raised by client teams.
• Testing of new features on the Data Science platform.
• Mentor and coach team members, fostering a culture of continuous learning and innovation within the data science team.

Nice to have

• Master’s Degree in Computer Science, Mathematics, Statistics, or a related quantitative field with a focus on Machine Learning or Deep Learning.
• 7+ years of professional experience as a Machine Learning Engineer/Data Scientist; in a product development setting.
• First and foremost, you are someone who is obsessed about solving customer problems using Data Science. You understand the importance of solving customer problems in a timely manner.
• Experience in Full-Cycle Data Science projects. Hands-on experience with software development, including translating ML models into scalable production servicesGood intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach.
• Experience in implementing time-series and machine learning algorithms using APIs/libraries from sci-kit-learn, H2O & TensorFlow.
• Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Dask and Ray.
• Should be very strong in SQL and Python. Should know how to write high-quality and high-performance code in SQL and Python. Knowledge of R (specifically with regards to time-series libraries) is a strong plus.
• Nice to have: Experience in leading teams.