data scientist in bangalore

randstad india
position type
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bangalore, karnataka
Information Technology
position type
reference number
randstad india

job description

data scientist in bangalore

Role –Data Scientist, Principal Consultant – Band – TBD.

People Involvement – IC, Product Development Team.

Requirement – New

Role success criteria

Deliver Features as identified in respective scrums for the development products with agreed accuracy in production.

Successful delivery of the use cases POC’s as identified by the business requirements.

Train and mentor junior staff, aspiring data scientists.

Skills –

Primary –Statistical Modelling and Machine Learning – Full Stack development.

Secondary – Deep Learning Architectures – Machine Learning & NLP.


Data Engineering

Manage the SQL data bases and converse with AWS.

Maintain the SQL Jobs, and analytical data marts.

Publish the quality reports, manage the development lifecycle with team members.

Hands on with integration with connection to, DBMS, Hadoop file structures etc .. experience connecting these to visual tools.

Strong knowledge of social media analytics and external databases on data acquisitions.

Data Analytics

Identify KPI’s , talk to customers, domain experts and identify the story line.

Business Analytics using Tableau, Power BI, Einstien Analytics or any Py/R library

Build inferential charts, some common charts.

Box Plots

SQC Charts


Advanced charts

Machine Learning


Only experienced production staff of 3-5 years should apply. POC work will not be applicable for this role.

Strong inclination of Statistics and mathematics with a focussed business acumen,

Supervised and Unsupervised learning algorightms.

Should be strong in parametric approaches and machine learning concepts.

Machine Learning Problems.


Forecasting, Univariate and multivariate T+3 periods ahead.

Binary Predictions.

Continuous predictions.

Unsupervised problems.

NLP based predictions.

Sentiment Analysis.

Very strong statistical modelling with an outlier of EDA.



Manage, guide and mentor a team of juniors.

Stakeholder management – 20-30%

Client Engagement . – 20-30%



Work with AWS team to deploy solutions.

Build machine learning pipelines and deploy the mdel in production.

Train and monitor the model/feature to the implementation team structurally.

Enhance customer experience by minimzing the deployment time.

Technical capability of customzing the product as per customer need.


R(20%) or Python(80%), should upskill in R.

R Shiny Dev, Py Django or Flask or Dash + Server Management.

Tensor-flow, keras, frame work.



10+ years of experience in analytics, preferably,

5+ years of experience in data science teams. Academic projects will not be counted. POC will not be counted. Kaggle competitions will not be counted.

Strong statistical background.

Minimum 3-5 Projects in productions/development should be in production during tenure.


Qualifications –

Bsc/Msc Maths, Stats.








Data Scientist