Sr Data scientist

at Fragma Data Systems

Sr Data scientist

Fragma Data Systems

Company

Home

Sr Data scientist

at Fragma Data Systems

Posted by Sandhya JD

5 - 10 yrs

₹15L - ₹40L / yr

Remote only

Skills

Machine Learning (ML)

Data Science

Natural Language Processing (NLP)

Computer Vision

recommendation algorithm

Job Overview:

Data & Analytics team is responsible to integrate new data sources and build data models, data dictionaries and machine learning models for the Wholesale Bank.

The goal is to design and build data products to support squads in Wholesale Bank with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data.

The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.
Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience.

Primary Responsibilities

 Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

 Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies

 Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and more

 Develop custom data models and algorithms

 Develop processes and tools to monitor and analyze model performance and data accuracy

 Assess the effectiveness and accuracy of new data sources and data-gathering techniques

 Develop company A/B testing framework and test model quality

 Coordinate with different functional teams to implement models and monitor outcomes

Operating Environment, Framework and Boundaries, Working Relationships

 Develops data products that are fit for purpose by leveraging advanced data and analytical tools and technology in order to help customers to make the best possible financial decision and to make the organization more data driven, taking into account the data privacy legislations and ethical boundaries.

 Combines IT and data management expertise. He / she develops algorithms to apply to external and internal data to predict customer needs and / or developments in markets, industries and the wider financial landscape.

 Linking pin and liaison towards the Data Engineers

Desired Experience

6 Years - 10 Years

Function

Analytics

Desired Skills

Should be comfortable in solving Wholesale Banking domain analytical solution within AI/ML platform

Knowledge, Skills and Experience

 Master’s or Ph.D. in statistics, mathematics, or computer science

 Experience using statistical computer languages such as R, Python, SQL, etc.

 Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis

 Experience working with and creating data architectures

 Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks

 Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests

 6+ years of experience manipulating data sets and building statistical models

 Experience using web services: Azure AI/ML , Redshift, S3, Spark, DigitalOcean, etc.

 Experience analyzing data from third-party providers, including Google Analytics, Site Catalyst, Coremetrics, AdWords, Crimson Hexagon, Facebook Insights, etc.

 Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

 Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Job Overview:

Data & Analytics team is responsible to integrate new data sources and build data models, data dictionaries and machine learning models for the Wholesale Bank.

The goal is to design and build data products to support squads in Wholesale Bank with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data.

The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.
Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience.

Primary Responsibilities

 Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

 Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies

 Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and more

 Develop custom data models and algorithms

 Develop processes and tools to monitor and analyze model performance and data accuracy

 Assess the effectiveness and accuracy of new data sources and data-gathering techniques

 Develop company A/B testing framework and test model quality

 Coordinate with different functional teams to implement models and monitor outcomes

Operating Environment, Framework and Boundaries, Working Relationships

 Linking pin and liaison towards the Data Engineers

Desired Experience

6 Years - 10 Years

Function

Analytics

Desired Skills

Should be comfortable in solving Wholesale Banking domain analytical solution within AI/ML platform

Knowledge, Skills and Experience

 Master’s or Ph.D. in statistics, mathematics, or computer science

 Experience using statistical computer languages such as R, Python, SQL, etc.

 Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis

 Experience working with and creating data architectures

 Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks

 Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests

 6+ years of experience manipulating data sets and building statistical models

 Experience using web services: Azure AI/ML , Redshift, S3, Spark, DigitalOcean, etc.

 Experience analyzing data from third-party providers, including Google Analytics, Site Catalyst, Coremetrics, AdWords, Crimson Hexagon, Facebook Insights, etc.

 Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

 Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

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About Fragma Data Systems

Founded :

2015

Type :

Products & Services

Size :

100-1000

Stage :

Profitable

About

Fragma is a leading Big data, AI and Advanced analytics company provideing services global clients.

Mallikarjun Degul

Sandhya JD

Varun Reddy

Priyanka U

Simpy kumari

Minakshi Kumari

Latha Yuvaraj

Vamsikrishna G

Company social profiles

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3. SAP MM Implementation/Support/Development project expertise.

4. Exposure to P2P processes, Pricing Procedure, Taxation, Automatic account determination, release procedure, consignment, stock transport orders, subcontracting etc.

5. S/4 Migration/Implementation/AMS experience - Must

PHP Developer

at Phando

Posted by Shefali Gupta

Noida

3 - 6 yrs

₹5L - ₹12L / yr

PHP

MySQL

Laravel

CodeIgniter

Object Oriented Programming (OOPs)

+1 more

Proven software development experience in PHP
Strong knowledge of PHP web frameworks Laravel
Demonstrable knowledge of web technologies including HTML, CSS, Javascript, AJAX, etc.
You will Plan, Develop, Test, and Document design implementations as a part of a team.
Architect, Develop, test, and deploy robust products that are fast, scalable, and highly responsive.
Design and maintain large and complex databases, both relational and non-relational databases.
Establish, refine and integrate development environment tools and software as needed.
Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant, and efficient systems.
Identify production and non-production application issues as a part of the deployment

Required Candidate profile

Ability to contribute individually as well as in a team.
Expertise in Laravel
Expertise in PHP, jQuery, MySQL, OOPS
Experience in common third-party APIs (Google, Facebook, eBay, etc)
Knowledge of JavaScript, JQuery, JSON, and socket programming
Ability to manage and lead a team of developers
Should have a strong knowledge of UI/UX.
Capable of estimating / forecasting time to complete specified project tasks.
Provide technical consultation to other team members (internal and external)
Strong analytical and problem-solving skills.

Proven software development experience in PHP
Strong knowledge of PHP web frameworks Laravel
Demonstrable knowledge of web technologies including HTML, CSS, Javascript, AJAX, etc.
You will Plan, Develop, Test, and Document design implementations as a part of a team.
Architect, Develop, test, and deploy robust products that are fast, scalable, and highly responsive.
Design and maintain large and complex databases, both relational and non-relational databases.
Establish, refine and integrate development environment tools and software as needed.
Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant, and efficient systems.
Identify production and non-production application issues as a part of the deployment

Required Candidate profile

Ability to contribute individually as well as in a team.
Expertise in Laravel
Expertise in PHP, jQuery, MySQL, OOPS
Experience in common third-party APIs (Google, Facebook, eBay, etc)
Knowledge of JavaScript, JQuery, JSON, and socket programming
Ability to manage and lead a team of developers
Should have a strong knowledge of UI/UX.
Capable of estimating / forecasting time to complete specified project tasks.
Provide technical consultation to other team members (internal and external)
Strong analytical and problem-solving skills.

District Sales Manager

at Casey Foods

7 recruiters

Posted by HR Coordinator

Remote, Kalahandi

4 - 7 yrs

₹2L - ₹3L / yr

Sales

Problem solving

Team leadership

Manage sales operations in assigned district to achieve revenue goals.
Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
Identify skill gaps and conduct trainings to sales team.
Work with team to implement new sales techniques to obtain profits.
Assist in employee recruitment, promotion, retention and termination activities.
Conduct employee performance evaluation and provide feedback for improvements.
Contact potential customers and identify new business opportunities.
Stay abreast with customer needs, market trends and competitors.
Maintain clear and complete sales reports for management review.
Build strong relationships with customers for business growth.
Analyze sales performances and recommend improvements.
Ensure that sales team follows company policies and procedures at all times.
Develop promotional programs to increase sales and revenue.
Plan and coordinate sales activities for assigned projects.
Provide outstanding services and ensure customer satisfaction.

Manage sales operations in assigned district to achieve revenue goals.
Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
Identify skill gaps and conduct trainings to sales team.
Work with team to implement new sales techniques to obtain profits.
Assist in employee recruitment, promotion, retention and termination activities.
Conduct employee performance evaluation and provide feedback for improvements.
Contact potential customers and identify new business opportunities.
Stay abreast with customer needs, market trends and competitors.
Maintain clear and complete sales reports for management review.
Build strong relationships with customers for business growth.
Analyze sales performances and recommend improvements.
Ensure that sales team follows company policies and procedures at all times.
Develop promotional programs to increase sales and revenue.
Plan and coordinate sales activities for assigned projects.
Provide outstanding services and ensure customer satisfaction.