Data Scientist

Responsibilities

You will work with product managers, game teams, scrum masters, architects, tech leads, quality engineers and infrastructure engineers across the US and other geographies.

You will work with PMs, Game Teams, Architects, Network and Systems engineers to understand needs and build the solution.

You will develop data models, machine learning, and deep learning algorithms.

Understand the game/service features and relation to experimental methods and measurement.

Ensure all solutions being developed are well documented with proper technical specifications, testable and maintainable.

Translate game/business understanding into recommendations on data/analytics to evaluate feature performance.

Provide data, analytical and statistical guidance for the business.

Translate answers to direct business problems into workable quantitative modelling solutions.

Work in an Agile, Scrum-based on Minimum Viable Product(MVP)

Communicate progress and issues with program and product teams across the organisation.

Prototype new technology that fits use cases/problems and validate against success criteria.

Integrate research and best practices into problem avoidance and continuous improvement.

and a hands-on person leading the team from the front and finding solutions using technology and logical thinking.

Gaming is the largest entertainment sector in the world and social features within games fast-becoming essential

Must-Have Skills

Bachelor or masters degree in computer science or Statistics or Related Field from Tier I institutions

3+ years experience in Data Modelling, Machine Learning, and related domains

Deep experience working in Natural Language Processing (NLP), intelligent search, and text/image analytics.

Top-notch programming skills in Python/R/Scala

Strong Experience in visualising and manipulating big datasets.

Experience in Distributed Computing and Data Processing Techniques

Strong knowledge of SQL and NoSQL Databases

Experience working in Agile development methodologies.

Exceptional analytical and creative problem-solving skills; solution oriented individual

Good written and verbal communication skills

Self-starter with an eagerness to constantly learn.

Strong sense of ownership/can do attitude.

Experience working in a distributed global team.

Desired Skills

TensorFlow

Experience in modern data storage, messaging, and processing tools (Kafka, Flink, Spark, Hadoop, Cassandra) and demonstrated experience designing and coding in bigdata components

Experience developing products on AWS or other platforms.

Full time