Associate - Data Scientist Job in Yash Technologies

YASH Technologies, a leading enterprise business and technology solution partner for medium and large global customers, is seeking to hire "Data Scientist" who thrives on challenges and desires to make a real difference in the business world. With an environment of extraordinary innovation and unprecedented growth, this is an exciting opportunity for a self-starter who enjoys working in a fast-paced, quality-oriented, and team environment.

What you should have?

Primary skills:

• Min 1+ years of relevant experience in data analytics
• Experience in developing minimum viable product related to data analytics
• Qualification in statistics or mathematics
• Any data science certifications
• Good understanding of ML & DL algorithms and frameworks (Scikit-learn, Tensorflow/ Keras/
• PyTorch/ H2O etc.)
• Should have worked on diverse projects related to NLP and computer vision
• Well versed with data science methodologies and frameworks (NLTK, RASA, Spacy, OpenCV, Scikit learn, Tensorflow)
• Good proficiency on Python/ R/ Tableau/ Power BI etc.
• Understanding of RDBMS concepts - SQL, Oracle
• Willing to work in a challenging environment
• Strong communication skills

Minimum Qualifications, Skills:

• Degree in Computer Science, Information Technology, Data Science, Mathematics, Statistics,
• Operations Research or related field
• Track record of developing novel learning algorithms and/or systems
• Proficiency in handling of multi-terabyte datasets in big data frameworks
• Experience with Machine and Deep Learning software packages & libraries such as Keras, TensorFlow, Scikit-learn, Spacy, NLTK, RASA, Spacy, DeepLearning4j, Caffe, Torch, Theano, etc;
• Programming languages such as Python is a must.
• Ability to visualize data and present core insights in a clear and compelling way
• Ability to understand business processes and drive to solve business problems
• Experience in Cloud-like Azure, AWS, and GCP is plus.
• Excellent with written and verbal communication and attitude to thrive in a fun, fast-paced startup-like environment.
• Attention to detail with self-discipline and a drive for results
• Demonstrated ability to work in ambiguous situations
• Good at conceptualization and execution of projects
• Strong business acumen to connect technology and business
• Good Time Management skills Ability to prioritize tasks and projects
• A proactive approach to problem resolution, suggesting alternate solutions
• Be able to work under tight deadlines & pressure without compromising on quality
• Good communication and Strong Interpersonal Skills
• Worked in distributed/cross-functional teams
• Positive attitude and a team player

Desirable Skills:

• Experience on prescriptive analytics
• Experience on web frameworks like R-Shiny, Flask or Django
• Experience in developing Machine Learning models on the cloud (Azure, GCP or AWS)
• Domain experience in the manufacturing industry
• Understanding of No-SQL databases - MongoDB, Cassandra, Neo4j

What you will do?

• As a Developer for machine learning, you will work in a team of experienced researchers, data scientists, and application developers taking on challenges posed by the Yash customers and product units.
• You will work together with a team of dedicated experts including researchers, developers, DevOps engineers, and architects with a single goal of building the best machine learning pipelines for a variety of use cases spanning commerce, agriculture, Insurance, financial markets, and procurement.
• You will have the chance to work with the richest data sets available in the world addressing real-world problems.
• Your primary goal will be to implement state-of-the-art algorithms and to develop new approaches and technologies for deriving value from our customers data.
• You will have a chance to select and implement the best technologies and approaches based on your own experience, judgment, and experimentation results.

This role combines:

• Experience with Machine Learning, NLP, Deep Learning
• Practical knowledge of working with scalable platforms for processing of huge data sets,
• Ability to understand the data, associated processes and business implications,
• Scaling from minimum viable product up to shippable production code,
• Build and maintaining innovative new products from the ground-up.

Key Responsibilities:

• Push the frontiers of what is possible in the area of machine learning to create new Incubation
• Explore, understand, and implement most recent algorithms and approaches for supervised and unsupervised machine learning and deep learning
• Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
• Understand business processes which create and consume data to be able to select the best approaches, evaluate their performance, and assess business relevance
• Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation
• Communicate the relevance of implemented systems and achieved results in a visual and consistent way
• Work closely with the team (product owner, designers, and other developers) and customers to holistically understand business and user requirements, and derive adequate application development concepts
• Performing quality assurance tasks
• Working together with partners and customers
• Solve complex integration issues
• Ability to work in global teams with different time zones
• Immerse yourself quickly in new topics, terminology, and development tasks