Data Scientist

We are looking for

A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

Mentor and coach other team members

Evaluate the performance of NLP models and ideate on how they can be improved

Support internal and external NLP-facing APIs

Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

Proven ability to multi-task and deliver results within tight time frames

Must have strong verbal and written communication skills

Strong listening skills and eagerness to learn

Strong attention to detail and the ability to work efficiently in a team as well as individually

Hands-on experience with

NLP

Deep Learning

Machine Learning

Python

Bert

• The incumbent should have hands on experience in data engineering and GCP data technologies.

• Should Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.

• Should Work with Agile and DevOps techniques and implementation approaches in the delivery.

• Showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.

• Build and deliver Data solutions using GCP products and offerings.
• Have hands on Experience on Python 
Experience on SQL or MySQL. Experience on Looker is an added advantage.

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients

Role Summary/Purpose:

We are looking for a Developer/Senior Developers to be a part of building advanced analytical platform leveraging Big Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing and challenging work environment, and will play an important role in resolving and influencing high-level decisions.

Requirements:

• The candidate must be a self-starter, who can work under general guidelines in a fast-spaced environment.
• Overall minimum of 4 to 8 year of software development experience and 2 years in Data Warehousing domain knowledge
• Must have 3 years of hands-on working knowledge on Big Data technologies such as Hadoop, Hive, Hbase, Spark, Kafka, Spark Streaming, SCALA etc…
• Excellent knowledge in SQL & Linux Shell scripting
• Bachelors/Master’s/Engineering Degree from a well-reputed university.
• Strong communication, Interpersonal, Learning and organizing skills matched with the ability to manage stress, Time, and People effectively
• Proven experience in co-ordination of many dependencies and multiple demanding stakeholders in a complex, large-scale deployment environment
• Ability to manage a diverse and challenging stakeholder community
• Diverse knowledge and experience of working on Agile Deliveries and Scrum teams.

Responsibilities

• Should works as a senior developer/individual contributor based on situations
• Should be part of SCRUM discussions and to take requirements
• Adhere to SCRUM timeline and deliver accordingly
• Participate in a team environment for the design, development and implementation
• Should take L3 activities on need basis
• Prepare Unit/SIT/UAT testcase and log the results
• Co-ordinate SIT and UAT Testing. Take feedbacks and provide necessary remediation/recommendation in time.
• Quality delivery and automation should be a top priority
• Co-ordinate change and deployment in time
• Should create healthy harmony within the team
• Owns interaction points with members of core team (e.g.BA team, Testing and business team) and any other relevant stakeholders

To be considered as a candidate for a Senior Data Engineer position, a person must have a proven track record of architecting data solutions on current and advanced technical platforms. They must have leadership abilities to lead a team providing data centric solutions with best practices and modern technologies in mind. They look to build collaborative relationships across all levels of the business and the IT organization. They possess analytic and problem-solving skills and have the ability to research and provide appropriate guidance for synthesizing complex information and extract business value. Have the intellectual curiosity and ability to deliver solutions with creativity and quality. Effectively work with business and customers to obtain business value for the requested work. Able to communicate technical results to both technical and non-technical users using effective story telling techniques and visualizations. Demonstrated ability to perform high quality work with innovation both independently and collaboratively.