Data Scientist

Data Scientist (Risk)/Sr. Data Scientist (Risk)

As a part of the Data science/Analytics team at Rupifi, you will play a significant role in  helping define the business/product vision and deliver it from the ground up by working with  passionate high-performing individuals in a very fast-paced working environment. 

You will work closely with Data Scientists & Analysts, Engineers, Designers, Product  Managers, Ops Managers and Business Leaders, and help the team make informed data  driven decisions and deliver high business impact.

Preferred Skills & Responsibilities: 

1. Analyze data to better understand potential risks, concerns and outcomes of decisions.
2. Aggregate data from multiple sources to provide a comprehensive assessment.
3. Past experience of working with business users to understand and define inputs for risk models.
4. Ability to design and implement best in class Risk Models in Banking & Fintech domain.
5. Ability to quickly understand changing market trends and incorporate them into model inputs.
6. Expertise in statistical analysis and modeling.
7. Ability to translate complex model outputs into understandable insights for business users.
8. Collaborate with other team members to effectively analyze and present data.
9. Conduct research into potential clients and understand the risks of accepting each one.
10. Monitor internal and external data points that may affect the risk level of a decision.

Tech skills: 

• Hands-on experience in Python & SQL.
• Hands-on experience in any visualization tool preferably Tableau
• Hands-on experience in Machine & Deep Learning area
• Experience in handling complex data sources
• Experience in modeling techniques in the fintech/banking domain
• Experience of working on Big data and distributed computing.

Preferred Qualifications: 

• A BTech/BE/MSc degree in Math, Engineering, Statistics, Economics, ML, Operations  Research, or similar quantitative field.
• 3 to 10 years of modeling experience in the fintech/banking domain in fields like collections, underwriting, customer management, etc.
• Strong analytical skills with good problem solving ability
• Strong presentation and communication skills
• Experience in working on advanced machine learning techniques
• Quantitative and analytical skills with a demonstrated ability to understand new analytical concepts.

Key responsibilities:
• Create and maintain data pipeline
• Build and deploy ETL infrastructure for optimal data delivery
• Work with various including product, design and executive team to troubleshoot data
related issues
• Create tools for data analysts and scientists to help them build and optimise the product
• Implement systems and process for data access controls and guarantees
• Distill the knowledge from experts in the field outside the org and optimise internal data
systems
Preferred qualifications/skills:
• 5+ years experience
• Strong analytical skills

____ 04

Freight Commerce Solutions Pvt Ltd. 

• Degree in Computer Science, Statistics, Informatics, Information Systems
• Strong project management and organisational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• SQL guru with hands on experience on various databases
• NoSQL databases like Cassandra, MongoDB
• Experience with Snowflake, Redshift
• Experience with tools like Airflow, Hevo
• Experience with Hadoop, Spark, Kafka, Flink
• Programming experience in Python, Java, Scala

 

Job Title : Analyst / Sr. Analyst – Data Science Developer - Python

Exp : 2 to 5 yrs

Loc : B’lore / Hyd / Chennai

NP: Candidate should join us in 2 months (Max) / Immediate Joiners Pref.

 

About the role:   We are looking for an Analyst / Senior Analyst who works in the analytics domain with a strong python background.   Desired Skills, Competencies & Experience:   •                     • 2-4 years of experience in working in the analytics domain with a strong python background. •                     • Visualization skills in python with plotly, matplotlib, seaborn etc. Ability to create customized plots using such tools. •                     • Ability to write effective, scalable and modular code. Should be able to understand, test and debug existing python project modules quickly and contribute to that. •                     • Should be familiarized with Git workflows.   Good to Have: •                     • Familiarity with cloud platforms like AWS, AzureML, Databricks, GCP etc. •                     • Understanding of shell scripting, python package development. •                     • Experienced with Python data science packages like Pandas, numpy, sklearn etc. •                     • ML model building and evaluation experience using sklearn.

Job Responsibilities

• Design, build & test ETL processes using Python & SQL for the corporate data warehouse
• Inform, influence, support, and execute our product decisions
• Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
• Evaluate and prototype new technologies in the area of data processing
• Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
• High energy level, strong team player and good work ethic
• Data analysis, understanding of business requirements and translation into logical pipelines & processes
• Identification, analysis & resolution of production & development bugs
• Support the release process including completing & reviewing documentation
• Configure data mappings & transformations to orchestrate data integration & validation
• Provide subject matter expertise
• Document solutions, tools & processes
• Create & support test plans with hands-on testing
• Peer reviews of work developed by other data engineers within the team
• Establish good working relationships & communication channels with relevant departments

 

Skills and Qualifications we look for

• University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
• 4 - 6 years experience with data engineering.
• Strong coding ability and software development experience in Python.
• Strong hands-on experience with SQL and Data Processing.
• Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
• Good working experience in any one of the ETL tools (Airflow would be preferable).
• Should possess strong analytical and problem solving skills.
• Good to have skills - Apache pyspark, CircleCI, Terraform
• Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
• Understanding & experience of agile / scrum delivery methodology

 

We are Still Hiring!!!

Dear Candidate,

This email is regarding open positions for Data Engineer Professionals with our organisation CRMNext.

In case, you find the company profile and JD matching your aspirations and your profile matches the required Skill and qualifications criteria, please share your updated resume with response to questions.

We shall reach you back for scheduling the interviews post this.

About Company:

Driven by a Passion for Excellence

Acidaes Solutions Pvt. Ltd. is a fast growing specialist Customer Relationship Management (CRM) product IT company providing ultra-scalable CRM solutions. It offers CRMNEXT, our flagship and award winning CRM platform to leading enterprises both on cloud as well as on-premise models. We consistently focus on using the state of art technology solutions to provide leading product capabilities to our customers.

CRMNEXT is a global cloud CRM solution provider credited with the world's largest installation ever. From Fortune 500 to start-ups, businesses across nine verticals have built profitable customer relationships via CRMNEXT. A pioneer of Digital CRM for some of the largest enterprises across Asia-Pacific, CRMNEXT's customers include global brands like Pfizer, HDFC Bank, ICICI Bank, Axis Bank, Tata AIA, Reliance, National Bank of Oman, Pavers England etc. It was recently lauded in the Gartner Magic Quadrant 2015 for Lead management, Sales Force Automation and Customer Engagement. For more information, visit us at www.crmnext.com

Educational Qualification:

B.E./B.Tech /M.E./ M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory)

60% in Xth, XIIth /diploma, B.E./B.Tech/M.E/M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory)

All education should be regular (Please Note - Degrees through Distance learning/correspondence will not consider)

Exp level- 2 to 5 yrs

Location-Andheri (Mumbai)

Technical expertise required:

1)Analytics experience in the BFSI domain is must

2) Hands on technical experience in python, big data and AI

3) Understanding of datamodels and analytical concepts

4) Client engagement :

Should have run in past client engagements for Big data/ AI projects starting from requirement gathering, to planning development sprints, and delivery

Should have experience in deploying big data and AI projects

First hand experience on data governance, data quality, customer data models, industry data models

Aware of SDLC.

 

Regards,
Deepak Sharma
HR Team

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