data science lead in kolkata

randstad india
position type
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kolkata, west bengal
Information Technology
position type
reference number
randstad india

job description

data science lead in kolkata

The person should be able to:
 Understand business needs and objectives of our clients from various sectors such as FMCG,
E-commerce, FinTech, Manufacturing etc.
 Organize and drive successful completion of projects through effective management of
analyst and effective collaboration with client stakeholders.
 Liaise with clients to fully understand data content and context.
 Communicate results and business impacts of insight initiatives to stakeholders within and
outside of the company.
 Develop strategies for effective data analysis, reporting, model creation and prediction.
 Make impact through recommendations towards the best data science approach / technology /
algorithm to be used for any given problem statement at hand.
 Design and develop Predictive / Prescriptive Models using machine learning / statistical
 Build end-to-end automated data science pipelines on cloud using microservice architecture.
 Lead and develop a team of data scientists, while leveraging expertise from data engineering
 Proactively participate in business development activities to ensure constant flow of new
 Imbibe and drive the culture of the analytics organization to create an egalitarian merit driven
organization, and help the team grow. Skillset expected
 Mandatory:
o Proven experience in a hands-on Data Science Lead / Manager role with at least 4-5
years of total data science experience.Excellent numerical and analytical skills with a passion for solving problems using
o Ability to think independently and take ownership.
o Ability to understand business needs and objectives of our clients, with good
communication skills.
o Solid experience in data analysis, data cleansing, data enrichment, data wrangling,
reporting, machine learning, and predictive modelling, within a given business
o Experience of working with Excel, R, Python and SQL are mandatory.
o Expertise in machine learning & statistical techniques, and how to apply them in
o Experience in building deployable and scalable AI pipelines on cloud.
o Experience in Big Data technologies such as Spark.
o Ability to lead and drive the best out of the people.
o Most importantly, problem-solving aptitude and eagerness to learn new technologies
& tools.
 Nice-to-have:
o Experience with deep learning, computer vision, natural language processing.
o Experience with AutoML tools such as Dataiku, Alteryx, DataRobot, RapidMiner,
KNIME etc. is a big plus.
o Experience in working with enterprise-level commercial ML capabilities provided by
vendors such as Google, Azure, AWS, IBM etc.
o Experience in dashboards on Tableau / Power BI.
o Experience in exposing AI models for external consumption through RESTful APIs.
o Exposure to Docker, Kubernetes, Kafka.
o Experience with ETL tools.


Python, R, SQL, Spark, excel