Senior Data Scientist Edge Talent Decisions

About Edge Talent Decisions

Who are we? At Edge, we believe that by simplifying employee data, large corporations will be able to resolve suboptimal talent management issues. After the pandemic, the necessity of managing a remote workforce has elevated the importance of this information. We have spent the last eight years gaining an understanding of the IT and BFSI workforces. This employee data was used to develop a sophisticated intelligence. EdGE graphTM is the brain behind our AI-based products. The graph was constructed using 11 million job descriptions and over 30 million profiles. Our products, such as Pathfinder, Recruit, and Mobility, are used by IT companies such as Wipro, HCL, UST Global, etc. to upskill, invest in, and retain their current workforce. It has enabled businesses to enhance their workforce availability, billing, and allocations, and to generate direct bottom-line impacts. The new order of talent decisions enables us to define, identify, and plan for a workforce that is prepared for the future. We provide organisations with end-to-end talent management solutions so that they have a 360-degree view of their talent supply chain. This allows them to make intelligent talent decisions and construct an intelligent workforce. Edge Networks was founded in 2012 in a Bangalore apartment with support from the National Skill Development Corporation of India (NSDC). We are a member of the NASSCOM Product Council and have been recognised as an innovative tech HR startup by Gartner, Deloitte, Equidam, NVIDIA, and Amazon. At Edge, we recognise that companies whose operations are centred on their employees and supported by data will have a productive organisation. This is how Edge uses technology for good.

Job Description

Who we are?
At Edge, we believe simplifying employee data will help large corporates solve sub-optimal talent management problems. This data is more critical after the pandemic, as managing a remote workforce has shifted from optional to essential.
We have spent our last eight years understanding the workforce from the IT and BFSI industries. We have used this employee data to create a sophisticated intelligence. This brain behind our AI-based products is called EdGE graph™. We have used 11 million job descriptions and more than 30 million profiles to build the graph.

Our products like Pathfinder, Recruit and Mobility are deployed in IT companies like Wipro, HCL, UST Global, etc. and help them upskill, invest, and maintain their existing people. It has helped organisations improve their workforce availability, billing, allocations and drive straight bottom-line impacts. The new order of talent decisions helps us define, identify, and plan for a future-ready workforce. We build end-to-end talent management products for organisations so that they have a 360-degree view of their talent supply chain. This helps them make informed talent decisions efficiently and build an intelligent workforce.
We built Edge Networks in 2012 in an apartment in Bangalore and soon, were supported by the National Skill Development Corporation of India (NSDC). We are a part of the NASSCOM Product Council and have been recognized by Gartner, Deloitte, Equidam, NVIDIA, Amazon as an innovative tech HR startup in various titles.
At Edge, we understand that modern companies that put the employees at the center of their workings, backed with data, will make their organisation productive. This is how we, at Edge, use tech for good.

Role: Senior Data Scientist
As a Senior Data scientist, you will build world class AI powered product. Your expertise in performs NLP, Deep learning, statistical analysis, data mining and retrieval processes on a large amount of data to identify trends, figures and other relevant information which will be a great addition in our team. 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, information retrieval, search, and recommendation systems)
• Design, development, evaluate and deploy innovative and highly scalable ML to improve the quality of products.
• Utilize Data Science development process(Data sheets, Model sheets, EDA, Training, Testing, Deployment and Documentation) during ML system development
• 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.
• Mentor other team members(data scientist, data analyst, ML engineers).

Role Skills:

• Ability 5+ years of hands-on experience in building machine learning systems.
• hands-on capability to break down and frame business problems into data science solutions and create MVP out of it and run a DS project end to end independently.
• Experience in building search and recommendation systems.
• Experience in applying statistical techniques to analyze data, selecting dataset for training, sampling, data shift.
• Experience in NLP (Sequence segmentation, Labeling and parsing, Knowledge extraction, Question answering, Multi text learning, ontology, taxonomy building), Machine Learning.
• 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 designing A/B testing during deploying new DL models into production
• Experience of implementing Deep Learning models into production
• Experience with python-based visualization libraries (such as plotly, streamlit, and dash)
• B.S./B.S.E./MS degree in Applied Math, Data Science, Computer Science, Physics, or Similar Technical Field

Preferred Qualifications

• 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 of git, flask, restful APIs.
• Experience working in a fast-paced, high tech environment.

Interview process:
Will have 4 rounds of interview including an Assignment.
Round 1: Technical Interview
Round 2: Assignment
Round 3: Detailed discussion on assignment & deeper technical evaluation
Round 4: HR & Culture fit

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?).
Location - Bangalore
Type - Permanent, Full Time