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Career Soft Solutions
4.1
Python / Data Science - Architect
Chennai
₹2L - ₹7L (Glassdoor Est.)
Enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, cleansing, and verifying the integrity……
30d+
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Hewlett Packard Enterprise | HPE
4.0
Systems Software Engineer
Bengaluru
₹8L - ₹10L (Glassdoor Est.)
Python for cloud/data/tooling: 2+ years writing Python for cloud services, data pipelines, scripting, or test automation — meaning you can build and maintain……
30d+
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Gusti Leder
2.7
HR Recruiter (m/f/d)
Calcutta
₹3L - ₹4L (Glassdoor Est.)
Exceptional benefits: From an attractive bonus system and flexible working hours to exclusive employee discounts. Minimum of 2 Years experience in recruiting.…
30d+
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Amazon
3.5
Sr. AI Risk Manager , Res-Q
India
This role offers the opportunity to shape how Amazon protects seller and customer trust by building the AI-powered risk intelligence layer that sits underneath……
30d+
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Google
4.4
Staff Software Engineer, Search Next
Bengaluru
₹1L - ₹9L (Glassdoor Est.)
We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking……
6d
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JPMorganChase
3.9
Data Management Senior Associate
Bengaluru
As part of the Consumer Community Banking - Chief Data Office Strategy team that serves multiple stakeholders and sits in the middle of a large, matrixed Data……
3d
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BOLD
3.7
Module Lead- Data Science (Search and Match)
Noida
₹4L - ₹6L (Glassdoor Est.)
BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to……
30d+
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BOLD
3.7
Project Lead- Data Science (Search and Match)
Noida
₹4L - ₹6L (Glassdoor Est.)
BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights……
30d+
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DemandMatrix
4.2
Lead Data Scientist
Pune
₹4L (Glassdoor Est.)
Easy Apply
Enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, cleansing, and verifying the integrity……
30d+
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Egnify Technologies
3.1
Lead Data Scientist
Hyderābād
₹3L - ₹8L (Glassdoor Est.)
Easy Apply
As the Lead Data Science Expert (ML/AI/Data Science) , you will be responsible for discovering the information hidden in TB amounts of data from multiple……
30d+
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Cialfo
3.9
Data Automation Engineer
India
Easy Apply
When you build a notification classifier that saves the team 20 hours a week, or a quality audit agent that catches data errors before they reach students, the……
30d+
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Career Soft Solutions

4.1

Python / Data Science - Architect

Chennai

₹2L - ₹7L (Glassdoor Est.)

Job Responsibilities:
1. Data mining using state-of-the-art methods
2. Enhancing data collection procedures to include information that is relevant for building analytic systems
3. Processing, cleansing, and verifying the integrity of data used for analysis
4. Doing ad-hoc analysis and presenting results in a clear manner
5. Creating automated anomaly detection systems and constant tracking of its performance
6. Selecting features, building and optimizing classifiers using machine learning techniques
7. Responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)
8. Provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues
9. Analyses complex business and competitive issues and discerns the implications for systems support. Identifies, defines, directs and preforms analysis of technical and economic feasibility of proposed data solution.
10. Creates and manages a machine learning pipeline, from raw data acquisitions to merging and normalizing to sophisticated feature engineering development to model execution.
11. Designs, leads and actively engages in projects with broad implication for the business and/or the future architecture, successfully addressing cross-technology and cross-platform issues. Selects tools and methodologies for projects and negotiates terms and conditions with vendors.
12. Communicates highly technical information to numerous audiences, including senior management, the user community, and less-experiences staff.
13. Leads the organizations planning for the future of the data model and data architecture.
14. Exhibit advanced visualization skills, as well as creative problem-solving
15. Interacting with customers to have an in-depth understanding of their operations to improve their processes for managing equipment and interfacing.
16. Reviewing and providing counsel for all major "Business Case Analysis" effort.
17. Developing the interdependencies between major applications/efforts
18. Providing project leadership, advice, and counsel to developers, management, customers and project teams on the most complex aspects of application development and system integration.
Basic (Required) Qualifications:
1. A Bachelor�s Degree from an accredited college or university or equivalent years (4 years) of experience relevant to this role.
2. Seven or more years of progressively responsible role relevant experiences that demonstrate both breadth of business knowledge and depth of digital and analytical skillsets.
3. Curiosity about and a deep interest in how digital technology and systems are powering the way users do their jobs.
4. Comfortable working in a dynamic environment where digital is still evolving as a core offering.
5. Ability to clearly and succinctly explain complex topics.
6. Expert in Python; familiar with concurrency in Python
7. Track record of architecting and delivering highly available back end systems for large-scale consumer experiences
8. Proficient with git or similar source control system; and Experienced with git-based development workflows
9. Ability to design and consume well-tailored REST APIs
10. Experience working in development teams with code reviews and varying levels of seniority
11. Thrives in agile environments but also understands the balance in coding discipline required for large scale, high quality end consumer apps
12. Experience both in jumping in to an existing architecture, and starting projects from scratch
13. Proven ability to take initiative and dive in to areas of new technology
14. Self-motivated with a passion for learning, analysing technology trade-offs, and shipping product
15. Good applied statistics skills, such as distributions, statistical testing, regression, etc.
16. Proficiency in using query languages such as SQL
17. Good scripting and programming skills
18. Data-oriented personality
Desired Qualifications:
1. Experience with common data science toolkits, such as Python, R, Weka, Matlab, etc (Excellence in at least one of these is highly desirable).
2. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
3. Experience with data visualisation tools, such as Tableau, Power BI, D3.js, GGplot, etc.
4. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase..

See company reviews

Base pay range

The minimum salary is ₹2L and the max salary is ₹7L.

₹2L – ₹7L/yr (Glassdoor Est.)

₹3L

/yr Median

Chennai

If an employer includes a salary or salary range on their job, we display it as "Employer provided". If a job has no salary data, Glassdoor displays a "Glassdoor estimate" if available. To learn more about "Glassdoor estimates", see our FAQ page.

Working here doesn’t have to be a secret

4.1

Recommend to a friend
Approve of CEO
CEO: Prakash V
10 Ratings

Career Soft Solutions

4.1

Python / Data Science - Architect

Chennai

₹2L - ₹7L (Glassdoor Est.)

Career Soft Solutions

4.1

Python / Data Science - Architect

Chennai

₹2L - ₹7L (Glassdoor Est.)

Job Responsibilities:
1. Data mining using state-of-the-art methods
2. Enhancing data collection procedures to include information that is relevant for building analytic systems
3. Processing, cleansing, and verifying the integrity of data used for analysis
4. Doing ad-hoc analysis and presenting results in a clear manner
5. Creating automated anomaly detection systems and constant tracking of its performance
6. Selecting features, building and optimizing classifiers using machine learning techniques
7. Responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)
8. Provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues
9. Analyses complex business and competitive issues and discerns the implications for systems support. Identifies, defines, directs and preforms analysis of technical and economic feasibility of proposed data solution.
10. Creates and manages a machine learning pipeline, from raw data acquisitions to merging and normalizing to sophisticated feature engineering development to model execution.
11. Designs, leads and actively engages in projects with broad implication for the business and/or the future architecture, successfully addressing cross-technology and cross-platform issues. Selects tools and methodologies for projects and negotiates terms and conditions with vendors.
12. Communicates highly technical information to numerous audiences, including senior management, the user community, and less-experiences staff.
13. Leads the organizations planning for the future of the data model and data architecture.
14. Exhibit advanced visualization skills, as well as creative problem-solving
15. Interacting with customers to have an in-depth understanding of their operations to improve their processes for managing equipment and interfacing.
16. Reviewing and providing counsel for all major "Business Case Analysis" effort.
17. Developing the interdependencies between major applications/efforts
18. Providing project leadership, advice, and counsel to developers, management, customers and project teams on the most complex aspects of application development and system integration.
Basic (Required) Qualifications:
1. A Bachelor�s Degree from an accredited college or university or equivalent years (4 years) of experience relevant to this role.
2. Seven or more years of progressively responsible role relevant experiences that demonstrate both breadth of business knowledge and depth of digital and analytical skillsets.
3. Curiosity about and a deep interest in how digital technology and systems are powering the way users do their jobs.
4. Comfortable working in a dynamic environment where digital is still evolving as a core offering.
5. Ability to clearly and succinctly explain complex topics.
6. Expert in Python; familiar with concurrency in Python
7. Track record of architecting and delivering highly available back end systems for large-scale consumer experiences
8. Proficient with git or similar source control system; and Experienced with git-based development workflows
9. Ability to design and consume well-tailored REST APIs
10. Experience working in development teams with code reviews and varying levels of seniority
11. Thrives in agile environments but also understands the balance in coding discipline required for large scale, high quality end consumer apps
12. Experience both in jumping in to an existing architecture, and starting projects from scratch
13. Proven ability to take initiative and dive in to areas of new technology
14. Self-motivated with a passion for learning, analysing technology trade-offs, and shipping product
15. Good applied statistics skills, such as distributions, statistical testing, regression, etc.
16. Proficiency in using query languages such as SQL
17. Good scripting and programming skills
18. Data-oriented personality
Desired Qualifications:
1. Experience with common data science toolkits, such as Python, R, Weka, Matlab, etc (Excellence in at least one of these is highly desirable).
2. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
3. Experience with data visualisation tools, such as Tableau, Power BI, D3.js, GGplot, etc.
4. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase..

See company reviews

Base pay range

The minimum salary is ₹2L and the max salary is ₹7L.

₹2L – ₹7L/yr (Glassdoor Est.)

₹3L

/yr Median

Chennai

Working here doesn’t have to be a secret

4.1

Recommend to a friend
Approve of CEO
CEO: Prakash V
10 Ratings

11 Information processing classifier jobs in India

Job Responsibilities:

Basic (Required) Qualifications:

Desired Qualifications:

Base pay range

Working here doesn’t have to be a secret

Job Responsibilities:

Basic (Required) Qualifications:

Desired Qualifications:

Base pay range

Working here doesn’t have to be a secret