Data Scientist/Quantitative Analyst

at Antier Solutions Pvt. Ltd (Antech)

DP
Posted by Alisha Bathla
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Mohali
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1 - 10 yrs
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₹2L - ₹8L / yr
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Full time
Skills
Data Science
Quantitative analyst
Natural Language Processing (NLP)
Ideal candidate should possess strong analytical, technical, and/or statistical skills with proven ability to process large datasets and create new data models.

This is an exciting opportunity to join the explosively growing Blockchain fraternity and work constructively with our in-house industry experts.

We expect you to have hands on working experience with -

- Machine Learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

- Python data science toolkit with Scikit-Learn and Keras/Pytorch

- Prowess with both SQL and NoSQL Databases

- Good, applied statistics skills, such as distributions, statistical testing, regression, etc.

- Excellent scripting and programming skills

- Fundamental principles of the CCAR or CCEL or Basel II Accord or IFRS

- Docker and other PaaS (Platform-as-a-Service) products

- MUST Specialize in Natural Language Processing

Key Roles & Responsibilities

- Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations supporting impairment and collections.

- Produce robust documentation to ensure replicability of results and fulfill Antier's governance requirements.

- Superlative communication skills to represent us before stakeholders

- Leadership skills to build, expand and drive a new process

Academic & other Qualifications

- Postgraduate university degree in the quantitative discipline required (ex. Statistics, Operations Research, Economics, Computer Science). Graduate studies.

- An ability to produce reports and interrogate systems to produce analysis and resolve discrepancies/queries.

- Proficiency with analytical software Python or SAS or R, SQL tools.

- Prior experience in banking products such as Mutual Funds will add value.

More About Us

We are a reputed Blockchain fintech company with team strength of 130+ consultants. Our impressive portfolio of Blockchain products has made us one of the fastest growing DeFi consulting (decentralized Finance) companies in the world. We ardently invest in our resources to produce a highly valuable workforce. Our global footprint spans across North America, Europe and Middle Eastern markets. We look forward to associate with like- minded in professionals and grow in a highly competitive landscape.
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About Antier Solutions Pvt. Ltd (Antech)

As experienced enterprise blockchain solutions provider, we specialize in enterprise Blockchain solutions development. Leverage our trusted Blockchain Solutions for the Enterprise.
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Founded
2007
Type
Products & Services
Size
100-1000 employees
Stage
Profitable
View full company details
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Data Science
Deep Learning
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Keras
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Machine Learning (ML)
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Job Description


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  • Enhancing data collection procedures to include information that is relevant for building analytic systems
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  • Good applied statistics skills, such as statistical testing, regression, etc.
  • Good scripting and programming skills 
  • Data-oriented personality
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DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.

Data [email protected]
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.

How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!

What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.

Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.


We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).


Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.

Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
Read more
Job posted by
Sanket Patil
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