Data Scientist
Data ScientistData
0 views0 saves0 applied
Quick Summary
Overview
This role is for one of Weekday’s clients Min Experience: 2+ yearsLocation: Bengaluru,
Technical Tools
Data ScientistData
Requirements
~1 min read- Bachelor's degree in Engineering, Computer Science, or a related discipline that emphasises analytical and quantitative thinking.
- Master's degree in Data Science, Statistics, Computer Science, or a related field is an added advantage.
Responsibilities
~1 min read- →Develop, implement, and optimise data models and algorithms to address business problems and improve decision-making.
- →Perform data mining, statistical analysis, and predictive modelling to identify trends, patterns, and actionable insights.
- →Design, develop, and deploy machine learning models using algorithms such as K-Nearest Neighbours (KNN), Naïve Bayes, Support Vector Machines (SVM), Decision Trees, and Random Forest.
- →Apply statistical and analytical methodologies, including hypothesis testing, experimental design, and data validation.
- →Use data science tools and programming languages, with hands-on proficiency in Python or R.
- →Work with structured and unstructured data across relational databases and NoSQL or Big Data platforms.
- →Build and maintain dashboards, reports, and data visualisations using tools such as Tableau, Power BI, QlikView, or D3.js.
- →Write efficient scripts and programmes to automate data processing, analysis, and reporting workflows.
- →Collaborate with cross-functional teams to understand business requirements and translate analytical insights into effective business strategies.
- →Present findings, model outcomes, and recommendations clearly to technical teams, business stakeholders, and leadership.
- →Ensure the accuracy, quality, and reliability of data models, analytical outputs, and visualisations.
- Machine Learning
- Statistical Analysis
- Python
- K-Nearest Neighbours (KNN)
- Naïve Bayes
- Support Vector Machines (SVM)
- Strong understanding of machine learning algorithms, statistical techniques, and predictive modelling.
- Experience with analytical and statistical programming tools such as Python or R.
- Knowledge of relational database management systems (RDBMS), including Oracle and MS SQL.
- Familiarity with NoSQL and Big Data technologies such as MongoDB, Cassandra, Hadoop, HBase, and Cloudera.
- Experience creating dashboards and visualisations using Tableau, Power BI, QlikView, or D3.js.
- Strong programming, scripting, and problem-solving abilities.
- Excellent analytical skills, attention to detail, and a passion for data-driven decision-making.
- Effective verbal and written communication skills.
- Proficiency in Microsoft Office tools, particularly Excel, PowerPoint, and Word.
Location & Eligibility
Where is the job
Bangalore, India
On-site at the office
About this job
- Posted
- Today
Listing Details
- Posted
- November 12, 2026
- First seen
- November 12, 2026
- Last seen
- November 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 53%
- Scored at
- November 12, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
Similar Data Scientist jobs
View all →
Senior Data Scientist, Marketplace Economics
$263,670 — $322,820 USD
Principal Data Scientist, Economy Recommendations
$322,820 — $373,680 USD
AI research scientist
$168K – $233K • Offers Equity
full-time
Staff/Sr. Staff/Principal AI research scientist
$234K – $384K • Offers Equity
full-time
HPE Labs - Postdoc Research Scientist - Racks Scale Architectures
Intern, AI System Architecture Research Scientist
$28 — $68 USD
Newsletter
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
A
B
C
D
No spam. Unsubscribe at any time.