Data Scientist (Job Code : J44388)  

 Job Summary
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1.00 - 7.00  Years 
Data Scientist
BE-Comp/IT, BE-Other, BTech-Comp/IT, BTech-Other
Educational Level:
Stream of Study:
Industrial Type:
IT-Software/Software Services
Functional Area:
IT Software - Application Programming / Maintenance
Key Skills:
numpy, pandas, scikit
Job Post Date:
2022-03-01 17:01:09  

 Company Description
It is a globally recognized marketing technology SaaS company offering a full-stack of martech solutions that help product and growth marketers deliver AI-powered intelligent customer experiences across all touchpoints of the user-s journey. Building a unified views of customers, orchestrating omnichannel communication journeys, personalizing the apps and websites, optimizing user experience, real-time reporting and providing actionable analytics, It represents an all-in-one solution for a marketer.
Making successful strides for 20+ years, It today serves over 5000 clients spread across 18 countries including India, USA, Germany, Nigeria, Singapore, Malaysia, Thailand, Philippines, Vietnam, and UAE, delivering 12+ billion emails, and tracking 100+ billion marketing events every month for the world-s top marketers. Some of the leading brands that trust to power their customer acquisition, engagement, and retention goals include MaxLife Insurance, ICICI Bank, Standard Chartered, Flipkart, Myntra, Miss Amara, Airtel, Disney Hotstar, Canon, Puma, Tobi,, Easemytrip, PizzaHut, and McDonalds.
Backed by products designed to scale and with a focus on ROI, today It stands tall as a leader in martech solutions in Asia and is exponentially growing in US, EU, and South America.

 Job Description
Job Title
Data Scientist (Remote)

Job Description
Remote Working | Data Science Team | Full-time

It empowers modern marketers to map their customer journey to deliver exceptional Customer Experience. It’s Cloud-based omni-channel, marketing automation solution offers Marketers an engagement platform), communication channels and consultative services to help nurture, cross-sell/Up-sell & engage for higher ROI.
Also, Our AI engine of makes e-commerce business personalised for each customer in a matter of a few clicks with the world`s most sophisticated algorithms crunching terabytes of data on powerful compute engines. Its ever-learning algorithms find hidden patterns in data to identify the most personalized and relevant products for each customer, based on the probability to click or buy.

The Impact you will create in the Job:

You will be part of our data science team and will be responsible for ensuring that desired results are being achieved for each and every client.
You will be working on building intelligence for various marketing products.
You will work with different verticals of product management and business to problem solve, measure and track suitable metrics for efficiency and effectiveness of product features and processes.
You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
You will get an opportunity to work with some of the best talent while learning from various highly-functional teams in the company.
Plan and execute the roadmap with the engineering team to build and deliver next-generation systems.
You will also collaborate with cross-functional teams to meet deliverables throughout the software development lifecycle and continuously identify areas of improvement.
Identify and improvise areas of improvement through data insights and research.

What we look for?

• Very strong analytic and problem solving skills.
• Proficient in data munging (cleaning, manipulation, visualization etc) with python for both structured and unstructured data (numpy, pandas, scikit).
• Working knowledge of deep learning frameworks Tensorflow and/or pytorch.
• Experience with some of classical machine learning methods like clustering, knn, logistic regression, SVM, kernel methods, clustering.
• Familiarity with basic recommender systems.
• Understanding of some NLP concepts. one or more of word2vec, embeddings, LSTM, self-attention.
• Basic knowledge of any database (sql, bigquery, mongodB etc).
• Experience working with production systems, and taking atleast 1 model from analysis to production.
• Familiarity with A/B testing methodology, define metrics, conducting and analysing tests.
• Familiarity with dask, aws, docker, jupyter, flask would be a plus.

Skills: MACHINE LEARNING, Artificial Intelligence, NLP, Tensorflow, KNN, NoSql, Numpy, Pandas