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238 Incedo Jobs
Data Scientist
Incedo
posted 1 week ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.
Roles & Responsibilities:
Developing and implementing machine learning models and algorithms to solve complex business problems
Conducting data analysis and modeling using statistical and data analysis tools
Collaborating with other teams to ensure the consistency and integrity of data
Providing guidance and mentorship to junior data science and modeling specialists
Presenting findings and recommendations to stakeholders
Technical Skills : Developing and implementing machine learning models and algorithms to solve complex business problems
Conducting data analysis and modeling using statistical and data analysis tools
Collaborating with other teams to ensure the consistency and integrity of data
Providing guidance and mentorship to junior data science and modeling specialists
Presenting findings and recommendations to stakeholders
Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.
Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
Understanding of big data technologies such as Hadoop, Spark, or Hive.
Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
Must understand the company's long-term vision and align with it.
Should be open to new ideas and be willing to learn and develop new skills.
Should also be able to work well under pressure and manage multiple tasks and priorities.
Qualifications
Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
Understanding of big data technologies such as Hadoop, Spark, or Hive.
Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
Must understand the company's long-term vision and align with it.
Should be open to new ideas and be willing to learn and develop new skills.
Should also be able to work well under pressure and manage multiple tasks and priorities.
Qualifications
7-9 years of work experience in relevant field
B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred
B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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What people at Incedo are saying
Rating based on 10 Data Scientist
reviews
Anonymous · Data Science & Analytics
in New Delhi
Likes
Only the manager dependent work
Dislikes
the culture is toxic
Data Scientist salary at Incedo
reported by
65
employees
₹10
L/yr - ₹16.5
L/yr
24%
less
than the average Data Scientist Salary in India
View more details
What Incedo employees are saying about work life
based on 1.2k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Incedo Benefits
Submitted by Company
Diverse learning opportunities Comprehensive total rewards Exceptional leadership Accelerated career journey Global career paths
Submitted by Employees
View more benefits 
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+91 044 66851400
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