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Job Location: Bangalore/Bengaluru
Role: Data Scientist -II
As a Data scientist- II you will performs statistical analysis, data mining and retrieval processes on a large amount of data to identify trends, figures and other relevant information. You will also perform data analysis on data stored in data warehouses or data centers to solve a variety of business problems, optimize performance and gather business intelligence.
Traits that you have
A team player – I know we only win if we all win. I recognise and value the different perspectives and skills my squad mates bring. It is not about being a hero but jumping in and contributing to the successful delivery of our mission.
An excellent communicator – I know and understand the importance of clear, on-time communication. My spoken and written communication skills stand out for clarity and conciseness.
A collaboration champion – I work closely with my colleagues to ensure alignment and champion the sharing of learning across teams.
Comfortable being uncomfortable – I am comfortable with uncertainty. I have the ability to effectively manage myself through ambiguity by making meaning, building relationships and creating clarity with my peers.
Continuous improvement junkie – I constructively challenge the status quo, I look for better ways of doing things and passionately advocate continuous improvement.
Committed to my own and others’ growth – I strive to stretch and grow myself and others by identifying my own development areas, seeking feedback, and providing feedback to others to help them learn and grow every day.
A problem solver – I am energised by tackling complex problems. I use my critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the product.
Business & Tech curious – I have a wide-angle lens. I am curious about what is happening in the external market and in emerging trends and innovations (technological and otherwise) and how we use this information to better inform our decisions and actions.
Risk savvy – I build sustainable solutions that protect stakeholders and customers and proactively address risks by role-modelling improvements in the product’s overall risk and control environment.
Responsibilities:
Design, Implement and Evaluate models and Design machine learning systems(NLP, text analytics, information retrieval, search, and recommendation systems, Knowledge graph, conversational system, Time-series based modelling, forecasting)
Design, development, evaluate and deploy innovative and highly scalable ML to improve the quality of products.
You should be passionate about working with data sets and be someone who loves to bring datasets together and use machine learning and analytical techniques to answer business questions and deliver actionable user-insights to build the best products and models.
Rapidly prototype integration of latest research in the field of ML/DL into the product.
Work closely with team of high performing data scientist and single ownership to identify opportunities, design, and assess improvements to ML Engine & Products
Role Skills:
3-5 years of hands-on experience in building machine learning systems for large datasets.
Ability to break down and frame business problems into data science solutions and hands-on capability to create MVP out of it and run a DS project end to end independently.
In-depth knowledge on supervised and unsupervised machine learning algorithms including classification, clustering, and regression.
Experience in NLP (Sequence segmentation, Labeling and parsing, Knowledge extraction, Question answering, Multi text learning, ontology, taxonomy building), Machine Learning.
Experience in Entity Extraction, Entity Linking, Clustering algorithms.
Proficient in Math & Deep Learning (VAE, RNN, LSTM, CNN, attention models, Transfomer etc.), machine learning(svm, random forest), Clustering, topic modeling(LDA, LSA) and graph models.
Experience in Python, Scikit-learn, Pytorch, Keras, Tensorflow
Experience of implementing Deep Learning models into production
Familiarity with distributed computing.
Experience with SQL and/or No-SQL modelling.
Excellent communication, analytical and problem-solving skills.
Passion to dive deep to resolve problems at their root.
Experience in Data Governance, Data quality, Model Governance & MLops is a huge plus. Functional knowledge of platforms such as MLFLOW, Hopsworks/Sagemaker feature store/feast/Tecton, Seldon, DVC.
Experience on building fair & explainable ML based product.
Experience on federated learning, differential privacy, reinforcement learning.
Experience on A/B testing, federated learning, differential privacy.
Experience of git, flask, restful APIs.
Experience working in a fast-paced, high tech environment.
Why should you join us?
We are concerned not only with the growth of the company, but each other’s personal and professional growth, too. We are transparent, open and have a collaborative work environment. And above all, you need to bring your best. The rest does not really matter. With WFH becoming more normalized, you best believe we have been sharing our favorite ways to prioritize a healthy work-life balance at home (Netflix, anyone?).
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