Data Scientist

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.
• 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.

If you share our passion for building a sustainable, intelligent, and efficient world, you’re in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let’s build this!

Aera Technology is an equal opportunity employer. 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.

Benefits Summary

At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits, and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You’ll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment, to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you’re working from the office, you’ll also have access to a fully-stocked kitchen with a selection of snacks and beverages.