AeraTechnology

Data Scientist – ML & Model Support

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Aera Technology is looking for a Customer-Facing Data Scientist to dig into data, solve real-world problems, and respond quickly when issues arise. The role involves investigating complex datasets, conducting exploratory data analysis, providing data science support, fine-tuning models, and communicating findings. The Data Scientist will work closely with customers to troubleshoot issues, investigate unexpected behavior in deployed models, and continuously improve how ML/AI systems perform.

Business Development Representative (BDR)

Aera Technology is a pioneer in the growing category of Decision Intelligence – the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions.
 
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.&nbsp;
 
We’re looking for a Customer-Facing Data Scientist who thrives on digging into data, solving real-world problems, and responding quickly when issues arise. You’ll work closely with customers to troubleshoot issues, investigate unexpected behavior in deployed models, and continuously improve how our ML/AI systems perform in real-world settings.
 
If you enjoy dissecting datasets to identify issues, communicating your insights clearly to technical and non-technical audiences, and driving customer problem resolution from start to finish, this could be the right place for you. 
 
The candidate is required to be based out of Pune.

 
<h3>Responsibility </h3>
<ul>
<ul><li>Data-Driven Problem Solving: Investigate complex and often disorganized datasets to diagnose the underlying causes of issues such as model degradation, unexpected patterns, and data quality problems.</li><li>Extensive Exploratory Data Analysis (EDA): Dedicate a significant portion of your time to in-depth data analysis, including identifying patterns, validating assumptions, and providing data-backed answers to crucial business inquiries (model development is a secondary focus).</li><li>Data Science Support: Serve as the primary technical contact for issues in Data Science, ensuring rapid responses, clear communication, and end-to-end ownership of problem resolution. Design and implement monitoring, alerting, and validation checks that help catch issues before customers do. Continuously work to make solutions more robust and easier to support.</li><li>Model Support and Optimization: Fine-tune hyperparameters, retrain models, or implement minor algorithmic adjustments based on analytical insights.</li><li>Effective and Empathetic Communication: Articulate technical findings clearly and understandably to both customers and internal stakeholders, fostering trust through transparency and responsiveness.</li><li>Cross-Functional Teamwork: Collaborate with support, product, engineering and partner teams to implement comprehensive solutions, enhance processes, and ensure a positive customer experience.</li></ul>
</ul>

<h3>About You</h3>
<ul>
<ul><li>Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field preferred. Equivalent practical experience and demonstrated skills will also be considered</li><li>2+ years of experience in data science or data analysis&nbsp;</li><li>Hands-on experience developing, deploying, and maintaining machine learning models in production environments</li><li>Proficiency in Python, SQL, and relevant ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)</li><li>Strong analytical and problem-solving skills, with the ability to conduct rigorous data analysis and communicate findings clearly</li><li>Demonstrated ability to work collaboratively in cross-functional teams and directly with customers to solve business problems</li><li>Experience with data visualization tools</li><li>Excellent communication skills, both written and verbal.</li><li>Good to have</li><li>Domain experience in supply chain, logistics, or operations</li></ul>
</ul>


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).&nbsp; 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&nbsp;
 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.&nbsp;

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