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

Data Science

Machine Learning (ML)

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

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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Strong experience in RDMS and NoSQL databases Mongo
Experience in using Elastic Search
Experience in profiling applications
Strong analytical skills and general logical reasoning
Excellent written and verbal communication skills.
Good understanding of Software development life cycle (SDLC)
Basic SQL queries

What We offer

Autonomy: you’ll work and play in a tight-knit team environment. You’ll see a problem and will work to remove obstacles for your team. Here at Uniphore, you control your destiny.

Pursue Diversity: Different views and experiences are advantages. Our global presence gives us perspectives that drive better business

Take Ownership: We are accountable for ourselves, our colleagues, our clients and our company

Exceed Expectations: We understand our colleagues’ and clients’ needs and always exceed expectations

About You:

You are friendly, collaborative, and happily work well with others

You are passionate about both travel and technology

Your attention to detail is spectacular

You are flexible, creative, motivated, and cooperative

You hold yourself and others accountable to commitments

You are comfortable with continual change and improvement

You enjoy working within the fabric of a purpose-built culture and process that respects the individual but values the team

Develop creative solutions and write technical design based on the requirements.
Work closely with peer teams to ensure that applications are written to allow for overall system performance.
Assist in tuning and optimization.
Develop and execute unit tests for product components.
Perform peer code reviews and provide feedback.
Promote high quality, scalability, and timely completion of projects.
Apply agile approach to coordinate development and determine project scope and limitations.
Bachelor degree in Engineering, CS or equivalent experience
Development in Core Java, J2EE, Struts, spring, Client-Side scripting, Hibernate, Database
Development of scalable core-java applications, Web Applications and Web Services
OOP concepts
Data Structures, algorithms and their applications
Strong problem-solving skills
Experience in building microservices
Strong experience with Spring Boot stack (spring cloud, spring-data)
Extensive experience in developing and consuming REST APIs
Experience in Kafka distributed messaging
Hands-on experience in Redis, Apache Ignite, Hazelcast
Strong experience in RDMS and NoSQL databases Mongo
Experience in using Elastic Search
Experience in profiling applications
Strong analytical skills and general logical reasoning
Excellent written and verbal communication skills.
Good understanding of Software development life cycle (SDLC)
Basic SQL queries

Java Developer

at Raos Infosoft Join Pvt Ltd

1 recruiter

Posted by Santosh S

Bengaluru (Bangalore)

5 - 10 yrs

₹5L - ₹14L / yr

Java

Spring

PostgreSQL

MongoDB

Microservices

+1 more

Requirements:

Experience in Enterprise Java building restful microservices
Strong Exposure to any of the Java Enterprise frameworks such as Spring, Vert. x, Quarkus or others
Good exposure to databases such as PostgreSQL, MongoDB etc
Good analytical and problem-solving capabilities along with excellent communication skills.
Any exposure to UI programming using REACT JS or AngularJS is a plus
Preferred candidate who can join in 15 days or max 30 days.

Requirements:

Experience in Enterprise Java building restful microservices
Strong Exposure to any of the Java Enterprise frameworks such as Spring, Vert. x, Quarkus or others
Good exposure to databases such as PostgreSQL, MongoDB etc
Good analytical and problem-solving capabilities along with excellent communication skills.
Any exposure to UI programming using REACT JS or AngularJS is a plus
Preferred candidate who can join in 15 days or max 30 days.

Etl developer

at TechChefs Software

2 recruiters

Posted by Shilpa Yadav

Remote, Anywhere from india

5 - 10 yrs

₹1L - ₹15L / yr

ETL

Informatica

Python

SQL

Responsibilities

Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
Manage backup and security of Data Integration Infrastructure.
Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
Develop and interpret organizational goals, policies, and procedures.
Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
Prepare and review operational reports or project progress reports.
Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
Work with vendors to manage support SLA’s and influence vendor product roadmap
Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
Work with cross functional operations teams such as systems, storage and network to design technology stacks.

Preferred Qualifications

Minimum 6+ years’ experience as Informatica Engineer and Developer role
Minimum of 5+ years’ experience in an ETL environment as a developer.
Minimum of 5+ years of experience in SQL coding and understanding of databases
Proficiency in Python
Proficiency in command line troubleshooting
Proficiency in writing code in Perl/Shell scripting languages
Understanding of Java and concepts of Object-oriented programming
Good understanding of systems, networking, and storage
Strong knowledge of scalability and high availability

Responsibilities

Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
Manage backup and security of Data Integration Infrastructure.
Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
Develop and interpret organizational goals, policies, and procedures.
Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
Prepare and review operational reports or project progress reports.
Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
Work with vendors to manage support SLA’s and influence vendor product roadmap
Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
Work with cross functional operations teams such as systems, storage and network to design technology stacks.