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Data Scientist
Impetus Technologies's logo

Data Scientist

Gangadhar T.M's profile picture
Posted by Gangadhar T.M
4 - 8 yrs
₹20L - ₹35L / yr
Bengaluru (Bangalore)
Skills
skill iconData Science
Pricing Strategy
skill iconPython
Predictive analytics
Pricing models
skill iconMachine Learning (ML)
Looking for Data Scientist with strong expertise in Classical Machine Learning algorithms and strong expertise in SQL and Python.
Experience in Pricing models will be definite plus
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Impetus Technologies

Founded :
1991
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

At Impetus grow faster than you have as leaders in cloud, data, and AI engineering, We at Impetus, create software products and solutions that enable a real-time, data-driven, and intelligent enterprise on the cloud. Impetus is a proud partner to several Fortune 100 companies. Join us as we expand our stellar award-winning team.
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Description

JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST 

 

Key Responsibilities ·       

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·       

Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·       

Solid understanding of time-series forecasting techniques·       

Good hands-on skills in both feature engineering and hyperparameter optimization·       

Able to write clean and tested code that can be maintained by other software engineers·       

Able to clearly summarize and communicate data analysis assumptions and results·       

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Self-motivated and a proactive problem solver who can work independently and in teams·       

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Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·       

Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·       

Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·       

Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·       

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Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·       

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What We Are Looking For 

Required Qualifications ·       

Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·       

4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·       

A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·       

Strong experience in Time Series Forecasting and Demand Planning ·       

Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·       

Good hands-on skills in both feature engineering and hyperparameter optimization ·       

Experience producing high-quality code, tests, documentation·       

Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·       

Proficiency in statistical concepts and ML algorithms·       

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Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams 


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Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·       

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Experience in creating CI/CD pipelines for deployment using Jenkins. ·       

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Implementation on ML models·       

Exposure to visualization packages and Azure tech stack.  

 

Must have skills

Python - 2 years

Data Science - 4 years

SQL - 2 years

Machine Learning - 2 years

 

Nice to have skills

Data Analysis - 4 years

Time Series Forecasting - 2 years

Demand Planning - 2 years

Hadoop - 2 years

Statistical concepts - 2 years

Supply chain functions - 2 years

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                        SmartDocs, provides equal employment opportunity to all its employees and all qualified applicants for employment without regard to their race, caste, religion, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin or disability. Our resource policies shall promote diversity and equality in the workplace while encouraging the adoption of international best practices.

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Job description

Edit

Packaging Industry - Marketing Head

Qualification: Knowledge of Wooden Pallets/ Corrugation Industry is a must.

Job Responsibility

Marketing Head

1. Increase client base and send quotation to customer with regular follow-up.

2. Finding new big customers

3. Meeting clients and procuring orders

4. Carry out sales from leads given from INDIAMART.

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10. Acquire more clients to grow business

Salary: INR 2,40,000 – 4,20,000 P.A. Incentives will be given for extra sales.

IndustryPackaging/Corrugated Boxes/Wooden Pallets

Employment TypePermanent Job, Full Time

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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