Senior Data Scientist

at Paysense Services India Pvt Ltd

Senior Data Scientist

Paysense Services India Pvt Ltd

Company

Home

Senior Data Scientist

at Paysense Services India Pvt Ltd

Posted by Pragya Singh

2 - 7 yrs

₹10L - ₹30L / yr

Delhi, Gurugram, Noida, Mumbai

Skills

Data Science

Python

Perl

Django

Machine Learning (ML)

Data Analytics

About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Subodh Popalwar

Software Engineer, Memorres

For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.

Companies hiring on Cutshort

About Paysense Services India Pvt Ltd

Founded :

2015

Type

Size

Stage :

Profitable

About

Founded in 2015 and based out of Mumbai, Paysense is a venture backed, financial services startup. We are an amazing team of highly diverse, like minded people solving the fundamental problem of not having simple, convenient and transparent access to credit in India today. We stand for making all things finance more simple, accessible and transparent. We specialize in using advanced data sciences to provide credit without the hassle of complex application processes, arduous physical proofs and long waits.

Connect with the team

Pragya Singh

Connect

Company social profiles

Similar jobs

Data Scientist

at Marktine

1 recruiter

Posted by Vishal Sharma

Remote, Bengaluru (Bangalore)

3 - 7 yrs

₹10L - ₹24L / yr

Data Science

R Programming

Python

SQL

Machine Learning (ML)

+1 more

Responsibilities:

Design and develop strong analytics system and predictive models
Managing a team of data scientists, machine learning engineers, and big data specialists
Identify valuable data sources and automate data collection processes
Undertake pre-processing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams

Requirements:

Proven experience as a seasoned Data Scientist
Good Experience in data mining processes
Understanding of machine learning and Knowledge of operations research is a value addition
Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
Strong math skills (e. g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Experience in Natural Language Processing (NLP)
Strong competitive coding skills
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Responsibilities:

Design and develop strong analytics system and predictive models
Managing a team of data scientists, machine learning engineers, and big data specialists
Identify valuable data sources and automate data collection processes
Undertake pre-processing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams

Requirements:

Proven experience as a seasoned Data Scientist
Good Experience in data mining processes
Understanding of machine learning and Knowledge of operations research is a value addition
Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
Strong math skills (e. g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Experience in Natural Language Processing (NLP)
Strong competitive coding skills
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Data Analyst

B2B - Factory app for retailers & buyers (well funded)

Agency job

via Qrata by Blessy Fernandes

Delhi, Gurugram, Noida, Ghaziabad, Faridabad

3 - 7 yrs

₹8L - ₹13L / yr

Tableau

SQL

Python

Microsoft Excel

Data Analytics

+1 more

Job Title

Data Analyst

Job Brief

The successful candidate will turn data into information, information into insight and insight into business decisions.

Data Analyst Job Duties

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Responsibilities

● Interpret data, analyze results using statistical techniques and provide ongoing reports.

● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.

● Identify, analyze, and interpret trends orpatternsin complex data sets.

● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.

● Work withmanagementto prioritize business and information needs.

● Locate and define new processimprovement opportunities.

Requirements

● Proven working experienceas aData Analyst or BusinessDataAnalyst.

● Technical expertise regarding data models, database design development, data mining and segmentation techniques.

● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).

● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).

● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

● Adept atqueries,reportwriting and presenting findings.

Job Location SouthDelhi, New Delhi

Job Title

Data Analyst

Job Brief

The successful candidate will turn data into information, information into insight and insight into business decisions.

Data Analyst Job Duties

Responsibilities

● Interpret data, analyze results using statistical techniques and provide ongoing reports.

● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.

● Identify, analyze, and interpret trends orpatternsin complex data sets.

● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.

● Work withmanagementto prioritize business and information needs.

● Locate and define new processimprovement opportunities.

Requirements

● Proven working experienceas aData Analyst or BusinessDataAnalyst.

● Technical expertise regarding data models, database design development, data mining and segmentation techniques.

● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).

● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).

● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

● Adept atqueries,reportwriting and presenting findings.

Job Location SouthDelhi, New Delhi

Machine Learning Engineer

Accrete.ai

Agency job

via Edu Angels India Private Limited by Divya Sharma

Mumbai

3 - 9 yrs

₹30L - ₹40L / yr

Machine Learning (ML)

Natural Language Processing (NLP)

Deep Learning

Data Science

Computer Vision

+4 more

Responsibilities

Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
Optimize and debug existing codes to make them scalable and improve performance
Design, development, and delivery of tested code and machine learning models into production environments
Work effectively in teams, managing and leading teams
Provide effective, constructive feedback to the delivery leader
Manage client expectations and work with an agile mindset with machine learning and AI technology
Design and prototype data-driven solutions

Eligibility

Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
Expertise in writing scalable APIs for machine learning models
Experience with maintaining code logs, task schedulers, and security
Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

Responsibilities

Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
Optimize and debug existing codes to make them scalable and improve performance
Design, development, and delivery of tested code and machine learning models into production environments
Work effectively in teams, managing and leading teams
Provide effective, constructive feedback to the delivery leader
Manage client expectations and work with an agile mindset with machine learning and AI technology
Design and prototype data-driven solutions

Eligibility

Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
Expertise in writing scalable APIs for machine learning models
Experience with maintaining code logs, task schedulers, and security
Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

MLops Lead Engineer

A analytics consulting start-up

Agency job

via InvokHR by Shweta Gupta

Remote only

7 - 12 yrs

₹10L - ₹15L / yr

Machine Learning (ML)

Data Science

MS-Office

Artificial Intelligence (AI)

Python

+2 more

A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
- ML orchestration - how can I automate my ML workflows across multiple environments
- Scalability - how can I take advantage of the huge computational power available in the cloud?
- Serving - how can I make my ML models available to make predictions reliably when needed?
- Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
- Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
Designing cloud ML architectures and provide a roadmap for flexible patterns
Optimizing solutions for performance and scalability
Leading and driving the evolving best practices for MLOps
Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
Microsoft Azure Platform - primarily focused on Databricks, Azure ML
Containers
CI/CD – Azure DevOps
Strong programming skills in Python
Solid understanding of cloud concepts
Demonstrable interest in Machine Learning
Understanding of IaC and CI/CD concepts
Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
- ML orchestration - how can I automate my ML workflows across multiple environments
- Scalability - how can I take advantage of the huge computational power available in the cloud?
- Serving - how can I make my ML models available to make predictions reliably when needed?
- Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
- Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

Responsibilities will include:

Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
Designing cloud ML architectures and provide a roadmap for flexible patterns
Optimizing solutions for performance and scalability
Leading and driving the evolving best practices for MLOps
Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
Microsoft Azure Platform - primarily focused on Databricks, Azure ML
Containers
CI/CD – Azure DevOps
Strong programming skills in Python
Solid understanding of cloud concepts
Demonstrable interest in Machine Learning
Understanding of IaC and CI/CD concepts
Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

Data Engineer

QUT

Agency job

via Hiringhut Solutions Pvt Ltd by Neha Bhattarai

Bengaluru (Bangalore)

3 - 7 yrs

₹1L - ₹10L / yr

Spark

Hadoop

Big Data

Data engineering

PySpark

+8 more

What You'll Bring

•3+ years of experience in big data & data warehousing technologies
•Experience in processing and organizing large data sets
•Experience with big data tool sets such Airflow and Oozie

•Experience working with BigQuery, Snowflake or MPP, Kafka, Azure, GCP and AWS
•Experience developing in programming languages such as SQL, Python, Java or Scala
•Experience in pulling data from variety of databases systems like SQL Server, maria DB, Cassandra
NOSQL databases
•Experience working with retail, advertising or media data at large scale
•Experience working with data science engineering, advanced data insights development
•Strong quality proponent and thrives to impress with his/her work
•Strong problem-solving skills and ability to navigate complicated database relationships
•Good written and verbal communication skills , Demonstrated ability to work with product
management and/or business users to understand their needs.

MLOps Engineer

at Synapsica Technologies Pvt Ltd

6 candid answers

1 video

Posted by Human Resources

Bengaluru (Bangalore)

3 - 5 yrs

₹12L - ₹20L / yr

Python

CI/CD

DVCS

Machine Learning (ML)

Kubernetes

+4 more

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis.

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

Your Roles and Responsibilities

We are looking for an experienced MLOps Engineer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be a key member of a team in decision making, implementations, development and advancement of ML operations of the core AI platform.

Roles and Responsibilities:

Work closely with a cross functional team to serve business goals and objectives.
Develop, Implement and Manage MLOps in cloud infrastructure for data preparation,deployment, monitoring and retraining models
Design and build application containerisation and orchestrate with Docker and Kubernetes in AWS platform.
Build and maintain code, tools, packages in cloud

Requirements:

At Least 2+ years of experience in Data engineering
At Least 3+ yr experience in Python with familiarity in popular ML libraries.
At Least 2+ years experience in model serving and pipelines
Working knowledge of containers like kubernetes , dockers, in AWS
Design distributed systems deployment at scale
Hands-on experience in coding and scripting
Ability to write effective scalable and modular code.
Familiarity with Git workflows, CI CD and NoSQL Mongodb
Familiarity with Airflow, DVC and MLflow is a plus

Introduction

Your Roles and Responsibilities

Roles and Responsibilities:

Work closely with a cross functional team to serve business goals and objectives.
Develop, Implement and Manage MLOps in cloud infrastructure for data preparation,deployment, monitoring and retraining models
Design and build application containerisation and orchestrate with Docker and Kubernetes in AWS platform.
Build and maintain code, tools, packages in cloud

Requirements:

At Least 2+ years of experience in Data engineering
At Least 3+ yr experience in Python with familiarity in popular ML libraries.
At Least 2+ years experience in model serving and pipelines
Working knowledge of containers like kubernetes , dockers, in AWS
Design distributed systems deployment at scale
Hands-on experience in coding and scripting
Ability to write effective scalable and modular code.
Familiarity with Git workflows, CI CD and NoSQL Mongodb
Familiarity with Airflow, DVC and MLflow is a plus

Project Engineer Intern

at Helical IT Solutions

4 recruiters

Posted by Bhavani Thanga

Hyderabad

0 - 0 yrs

₹1.2L - ₹3.5L / yr

PySpark

Data engineering

Big Data

Hadoop

Spark

+4 more

Job description

About Company
Helical Insight an open source Business Intelligence tool from Helical IT Solutions Pvt. Ltd,
based out of Hyderabad, is looking for fresher’s having strong knowledge on SQL. Helical
Insight has more than 50+ clients from various sectors. It has been awarded the most promising
company in the Business Intelligence space. We are looking for rockstar team mate to join
our company.
Job Brief
We are looking for a Business Intelligence (BI) Developer to create and manage BI and analytics
solutions that turn data into knowledge.
In this role, you should have a background in data and business analysis. You should be
analytical and an excellent communicator. If you also have a business acumen and
problemsolving aptitude, we’d like to meet you. Excellent knowledge on SQLQuery is required.
Basic knowledge on HTML CSS and JS is required.
You would be working closely with customers of various domain to understand their data,
understand their business requirement and deliver the required analytics in form of varous
reports dashboards etc. Excellent client interfacing role with opportunity to work across various
sectors and geographies as well as varioud kind of DB including NoSQL, RDBMS, graph db,
Columnar DB etc
Skill set and Qualification required
Responsibilities
 Attending client calls to get requriement, show progress
 Translate business needs to technical specifications
 Design, build and deploy BI solutions (e.g. reporting tools)
 Maintain and support data analytics platforms)
 Conduct unit testing and troubleshooting
 Evaluate and improve existing BI systems
 Collaborate with teams to integrate systems
 Develop and execute database queries and conduct analyses
 Create visualizations and reports for requested projects
 Develop and update technical documentation
Requirements
 Excellent expertise on SQLQueries
 Proven experience as a BI Developer or Data Scientist
 Background in data warehouse design (e.g. dimensional modeling) and data mining
 In-depth understanding of database management systems, online analytical processing
(OLAP) and ETL (Extract, transform, load) framework
 Familiarity with BI technologies
 Proven abilities to take initiative and be innovative
 Analytical mind with a problem-solving aptitude
 BE in Computer Science/IT
Education: BE/ BTech/ MCA/BCA/ MTech/ MS, or equivalent preferred.
Interested candidates call us on +91 7569 765 162

Job description

Data Engineer

at Mobile Programming LLC

1 video

34 recruiters

Posted by Apurva kalsotra

Mohali, Gurugram, Bengaluru (Bangalore), Chennai, Hyderabad, Pune

3 - 8 yrs

₹3L - ₹9L / yr

Data Warehouse (DWH)

Big Data

Spark

Apache Kafka

Data engineering

+14 more

Day-to-day Activities
Develop complex queries, pipelines and software programs to solve analytics and data mining problems
Interact with other data scientists, product managers, and engineers to understand business problems, technical requirements to deliver predictive and smart data solutions
Prototype new applications or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Collaborate with different product owners to incorporate data science solutions
Maintain and improve data science platform
Must Have
BS/MS/PhD in Computer Science, Electrical Engineering or related disciplines
Strong fundamentals: data structures, algorithms, database
5+ years of software industry experience with 2+ years in analytics, data mining, and/or data warehouse
Fluency with Python
Experience developing web services using REST approaches.
Proficiency with SQL/Unix/Shell
Experience in DevOps (CI/CD, Docker, Kubernetes)
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multi-task and manage expectations
Preferred
Industry experience with big data processing technologies such as Spark and Kafka
Experience with machine learning algorithms and/or R a plus
Experience in Java/Scala a plus
Experience with any MPP analytics engines like Vertica
Experience with data integration tools like Pentaho/SAP Analytics Cloud

Machine Learning Engineer

at Quantiphi Inc.

1 video

10 recruiters

Posted by Anwar Shaikh

Mumbai

1 - 5 yrs

₹4L - ₹15L / yr

Python

Machine Learning (ML)

Deep Learning

TensorFlow

Keras

+1 more

1. The candidate should be passionate about machine learning and deep learning.
2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.
3. Hands-on experience with statistical, machine-learning tools and techniques
4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.
5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.
6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.
7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.
8. Expert level coding experience in Python.
9. Technologies: Backend - Python (Programming Language)
10. Should have the ability to think long term solutions, modularity, and reusability of the components.
11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.
12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.

Analyst - Business Analytics

at LatentView Analytics

3 recruiters

Posted by Kannikanti madhuri

Chennai

1 - 4 yrs

₹2L - ₹10L / yr

Business Intelligence (BI)

Analytics

SQL server

Data Visualization

Tableau

+7 more

Title: Analyst - Business AnalyticsExperience: 1 - 4 YearsLocation: ChennaiOpen Positions: 17Job Description:Roles & Responsibilities:- Designing and implementing analytical projects that drive business goals and decisions leveraging structured and unstructured data.- Generating a compelling story from insights and trends in a complex data environment.- Working shoulder-to-shoulder with business partners to come up with creative approaches to solve the business problem.- Creating dashboards for business heads by exploring available data assets.Qualifications:- Overall 1+ Years of Business Analytics experience with strong communication skills.- Bachelor or Master degree in computer science is preferred.- Excellent problem solving and client orientation skills.Skills Required:- Ability to program in Advanced SQL is must.- Hands-on experience in Modeling tools such as R or Python- Experience in Visualization tools such as Power BI, Tableau, Looker, etc., would be a big plus.- Analytics certifications from recognized platforms would be a plus - Udemy, Coursera, EDX,etc.

Why apply to jobs via Cutshort