Senior Data Scientist

at Sagacito

Senior Data Scientist

Sagacito

Company

Home

Senior Data Scientist

at Sagacito

Posted by Neha Verma

8 - 15 yrs

₹18L - ₹35L / yr

Delhi, Gurugram, Noida

Skills

Data Science

Python

Machine Learning (ML)

Natural Language Processing (NLP)

Deep Learning

•Analytics, Big Data, Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms Share CV to me at

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 Sagacito

Founded :

2016

Type

Size

Stage :

Profitable

About

Sagacito is a mobile first, cloud-based enterprise solutions company. Makes use of internal and external databases to gather insights that help companies maximise profit margins and market shares. Offers data science based intelligence with the help of data visualisation dashboards using "RIVET". The dashboards provided are Real-time, Interactive, Visual, Easy and Touch enabled.

Connect with the team

Neha Verma

Connect

Ankita Jamuar

Connect

Company social profiles

Similar jobs

Risk Analyst

at Fatakpay

2 recruiters

Posted by Ajit Kumar

Mumbai

2 - 5 yrs

₹8L - ₹15L / yr

Python

Risk analysis

credit card

Job Title: Credit Risk Analyst

Company: FatakPay FinTech

Location: Mumbai, India

Salary Range: INR 8 - 15 Lakhs per annum

Job Description:

FatakPay, a leading player in the fintech sector, is seeking a dynamic and skilled Credit Risk Analyst to join our team in Mumbai. This position is tailored for professionals who are passionate about leveraging technology to enhance financial services. If you have a strong background in engineering and a keen eye for risk management, we invite you to be a part of our innovative journey.

Key Responsibilities:

Conduct thorough risk assessments by analyzing borrowers' financial data, including financial statements, credit scores, and income details.
Develop and refine predictive models using advanced statistical methods to forecast loan defaults and assess creditworthiness.
Collaborate in the formulation and execution of credit policies and risk management strategies, ensuring compliance with regulatory standards.
Monitor and analyze the performance of loan portfolios, identifying trends, risks, and opportunities for improvement.
Stay updated with financial regulations and standards, ensuring all risk assessment processes are in compliance.
Prepare comprehensive reports on credit risk analyses and present findings to senior management.
Work closely with underwriting, finance, and sales teams to provide critical input influencing lending decisions.
Analyze market trends and economic conditions, adjusting risk assessment models and strategies accordingly.
Utilize cutting-edge financial technologies for more efficient and accurate data analysis.
Engage in continual learning to stay abreast of new tools, techniques, and best practices in credit risk management.

Qualifications:

Minimum qualification: B.Tech or Engineering degree from a reputed institution.
2-4 years of experience in credit risk analysis, preferably in a fintech environment.
Proficiency in data analysis, statistical modeling, and machine learning techniques.
Strong analytical and problem-solving skills.
Excellent communication skills, with the ability to present complex data insights clearly.
A proactive approach to work in a fast-paced, technology-driven environment.
Up-to-date knowledge of financial regulations and compliance standards.

We look forward to discovering how your expertise and innovative ideas can contribute to the growth and success of FatakPay. Join us in redefining the future of fintech!

Job Title: Credit Risk Analyst

Company: FatakPay FinTech

Location: Mumbai, India

Salary Range: INR 8 - 15 Lakhs per annum

Job Description:

Key Responsibilities:

Conduct thorough risk assessments by analyzing borrowers' financial data, including financial statements, credit scores, and income details.
Develop and refine predictive models using advanced statistical methods to forecast loan defaults and assess creditworthiness.
Collaborate in the formulation and execution of credit policies and risk management strategies, ensuring compliance with regulatory standards.
Monitor and analyze the performance of loan portfolios, identifying trends, risks, and opportunities for improvement.
Stay updated with financial regulations and standards, ensuring all risk assessment processes are in compliance.
Prepare comprehensive reports on credit risk analyses and present findings to senior management.
Work closely with underwriting, finance, and sales teams to provide critical input influencing lending decisions.
Analyze market trends and economic conditions, adjusting risk assessment models and strategies accordingly.
Utilize cutting-edge financial technologies for more efficient and accurate data analysis.
Engage in continual learning to stay abreast of new tools, techniques, and best practices in credit risk management.

Qualifications:

Minimum qualification: B.Tech or Engineering degree from a reputed institution.
2-4 years of experience in credit risk analysis, preferably in a fintech environment.
Proficiency in data analysis, statistical modeling, and machine learning techniques.
Strong analytical and problem-solving skills.
Excellent communication skills, with the ability to present complex data insights clearly.
A proactive approach to work in a fast-paced, technology-driven environment.
Up-to-date knowledge of financial regulations and compliance standards.

We look forward to discovering how your expertise and innovative ideas can contribute to the growth and success of FatakPay. Join us in redefining the future of fintech!

Data Scientist

at Analytics Consulting Company | REMOTE

Agency job

via Unnati by Veena Salian

Remote, Bengaluru (Bangalore)

2 - 4 yrs

₹18L - ₹20L / yr

Data Science

R Programming

Python

MongoDB

SQL

+3 more

Do you want your software skills to contribute meaningfully into finding technology driven solutions for various businesses and alongside grow your career, then read on.

Our client provides data-based process optimization and analytics solutions to businesses worldwide. Their innovative algorithms and customized IT solutions cater to complex problems related to every field or industry, through tools that are non standard and are backed-up by extensive research. They serve startups as well as large, medium and small enterprises, a majority of their clients being industry leaders.

With registered offices in India, USA and UAE, their projects support various sectors and functions like logistics, IT, Retail, Ecommerce, Healthcare industry among others, across Asia, America and Europe. The founder holds a Master’s degree from IIT and a PhD in Operations Research from USA, with rich experience in Optimization and Analytics for various industries. His team of top scientists and pedagogy experts are focusing on innovative revenue generation ideas with minimum operational costs.

As a Data Scientist, you will apply expertise in machine-learning, data mining and statistical methods to design, prototype, and build the next-generation analytics engines and services.

What you will do:

Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
Collaborating with data engineers & architects to implement and deploy scalable solutions
Communicating results to diverse audiences with effective writing and visualizations
Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

What you need to have:

2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics

Do you want your software skills to contribute meaningfully into finding technology driven solutions for various businesses and alongside grow your career, then read on.

As a Data Scientist, you will apply expertise in machine-learning, data mining and statistical methods to design, prototype, and build the next-generation analytics engines and services.

What you will do:

Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
Performing data exploration, cleaning, preparation and feature engineering; in addition to executing tasks such as building a POC, validation/ AB testing
Collaborating with data engineers & architects to implement and deploy scalable solutions
Communicating results to diverse audiences with effective writing and visualizations
Identifying and executing on high impact projects, triage external requests, and ensure timely completion for the results to be useful
Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

What you need to have:

2-4 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics,Operations Research, Industrial Engineering, or similar fields.
Should have 2-4 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.
DS Mandatory skills : Python, R, SQL, Deep learning, predictive analysis, applied statistics

Sr Data Engineer

at Infogain

Agency job

via Technogen India PvtLtd by RAHUL BATTA

Bengaluru (Bangalore), Pune, Noida, NCR (Delhi | Gurgaon | Noida)

7 - 10 yrs

₹20L - ₹25L / yr

Data engineering

Python

SQL

Spark

PySpark

+10 more

Sr. Data Engineer:

Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python

Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred

Major accountabilities:

Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
Have good understanding on Foundry Platform landscape and it’s capabilities
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
Designs data integrations and data quality framework.
Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed

Desired Candidate Profile :

Strong data engineering background
Experience with Clinical Data Model is preferred
Experience in

SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
Java and Groovy for our back-end applications and data integration tools
Python for data processing and analysis
Cloud infrastructure based on AWS EC2 and S3

7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
5+ years of Python and Pyspark development experience
Strong troubleshooting and problem solving skills
BTech or master's degree in computer science or a related technical field
Experience designing, building, and maintaining big data pipelines systems
Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
Hand-on experience in AWS / Azure cloud platform and stack
Strong in API based architecture and concept, able to do quick PoC using API integration and development
Knowledge of machine learning and AI
Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.

Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision

Sr. Data Engineer:

Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python

Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred

Major accountabilities:

Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
Have good understanding on Foundry Platform landscape and it’s capabilities
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
Designs data integrations and data quality framework.
Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed

Desired Candidate Profile :

Strong data engineering background
Experience with Clinical Data Model is preferred
Experience in

SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
Java and Groovy for our back-end applications and data integration tools
Python for data processing and analysis
Cloud infrastructure based on AWS EC2 and S3

7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
5+ years of Python and Pyspark development experience
Strong troubleshooting and problem solving skills
BTech or master's degree in computer science or a related technical field
Experience designing, building, and maintaining big data pipelines systems
Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
Hand-on experience in AWS / Azure cloud platform and stack
Strong in API based architecture and concept, able to do quick PoC using API integration and development
Knowledge of machine learning and AI
Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.

Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision

business analytics

at KAUSHIK BAKERY

Posted by Neha Sharma

NCR (Delhi | Gurgaon | Noida), NCR (Delhi | Gurgaon | Noida)

0 - 7 yrs

₹2L - ₹5L / yr

Data Science

Business Analysis

Business Intelligence (BI)

data analytics data science business analytics business intelligence

Business Analyst

at Catalyst IQ

6 recruiters

Posted by Sidharth Maholia

Mumbai, Bengaluru (Bangalore)

1 - 5 yrs

₹15L - ₹25L / yr

Tableau

SQL

MS-Excel

Python

Data Analytics

+2 more

Responsibilities:
● Ability to do exploratory analysis: Fetch data from systems and analyze trends.
● Developing customer segmentation models to improve the efficiency of marketing and product
campaigns.
● Establishing mechanisms for cross functional teams to consume customer insights to improve
engagement along the customer life cycle.
● Gather requirements for dashboards from business, marketing and operations stakeholders.
● Preparing internal reports for executive leadership and supporting their decision making.
● Analyse data, derive insights and embed it into Business actions.
● Work with cross functional teams.
Skills Required
• Data Analytics Visionary.
• Strong in SQL & Excel and good to have experience in Tableau.
• Experience in the field of Data Analysis, Data Visualization.
• Strong in analysing the Data and creating dashboards.
• Strong in communication, presentation and business intelligence.
• Multi-Dimensional, "Growth Hacker" Skill Set with strong sense of ownership for work.
• Aggressive “Take no prisoners” approach.

Data Analyst

at A Product development Organisation

Agency job

via Millions Advisory by Vasuki N

Pune

5 - 8 yrs

₹10L - ₹17L / yr

Python

Big Data

Amazon Web Services (AWS)

Windows Azure

Google Cloud Platform (GCP)

+3 more

Must have 5-8 years of experience in handling data
Must have the ability to interpret large amounts of data and to multi-task
Must have strong knowledge of and experience with programming (Python), Linux/Bash scripting, databases(SQL, etc)
Must have strong analytical and critical thinking to resolve business problems using data and tech
Must have domain familiarity and interest of – Cloud technologies (GCP/Azure Microsoft/ AWS Amazon), open-source technologies, Enterprise technologies
Must have the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Must have good communication skills
Working knowledge/exposure to ElasticSearch, PostgreSQL, Athena, PrestoDB, Jupyter Notebook

Must have 5-8 years of experience in handling data
Must have the ability to interpret large amounts of data and to multi-task
Must have strong knowledge of and experience with programming (Python), Linux/Bash scripting, databases(SQL, etc)
Must have strong analytical and critical thinking to resolve business problems using data and tech
Must have domain familiarity and interest of – Cloud technologies (GCP/Azure Microsoft/ AWS Amazon), open-source technologies, Enterprise technologies
Must have the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Must have good communication skills
Working knowledge/exposure to ElasticSearch, PostgreSQL, Athena, PrestoDB, Jupyter Notebook

Senior Data Engineer

at Noon Academy

3 recruiters

Posted by Sudha BR

Bengaluru (Bangalore)

3 - 7 yrs

₹15L - ₹35L / yr

Python

Scala

Data engineering

Job Description Be a part of the team that develops and maintains the analytics and data science platform. Perform functional, technical, and architectural role and play a key role in evaluating and improving data engineering, data warehouse design and BI systems. Develop technical architecture designs which support a robust solution and leads full-lifecycle availability of real-time Business Intelligence (BI) and enable the Data Scientists Responsibilities ● Construct, test and maintain data infrastructure and data pipelines to meet business requirements ● Develop process workflows for data preparations, modelling and mining Manage configurations to build reliable datasets for analysis Troubleshooting services, system bottlenecks and application integration ● Designing, integrating and documenting technical components, dependencies of big data platform Ensuring best practices that can be adopted in Big Data stack and share across teams

● Working hand in hand with application developers and data scientists to help build softwares that scales in terms of performance and stability Skills ● 3+ years of experience managing large scale data infrastructure and building data pipelines/ data products. ● Proficient in - Any data engineering technologies and proficient in AWS data engineering technologies is plus. ● Language - python, scala or go ● Experience in working with real time streaming systems Experience in handling millions of events per day Experience in developing and deploying data models on Cloud ● Bachelors/Masters in Computer Science or equivalent experience Ability to learn and use skills in new technologies

ETL Engineer - Data Pipeline

at Data ToBiz

2 recruiters

Posted by PS Dhillon

Chandigarh, NCR (Delhi | Gurgaon | Noida)

2 - 6 yrs

₹7L - ₹15L / yr

ETL

Amazon Web Services (AWS)

Amazon Redshift

Python

Job Responsibilities : - Developing new data pipelines and ETL jobs for processing millions of records and it should be scalable with growth.
Pipelines should be optimised to handle both real time data, batch update data and historical data.
Establish scalable, efficient, automated processes for complex, large scale data analysis.
Write high quality code to gather and manage large data sets (both real time and batch data) from multiple sources, perform ETL and store it in a data warehouse.
Manipulate and analyse complex, high-volume, high-dimensional data from varying sources using a variety of tools and data analysis techniques.
Participate in data pipelines health monitoring and performance optimisations as well as quality documentation.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.

Job Requirements :-
2+ years experience working in software development & data pipeline development for enterprise analytics.
2+ years of working with Python with exposure to various warehousing tools
In-depth working with any of commercial tools like AWS Glue, Ta-lend, Informatica, Data-stage, etc.
Experience with various relational databases like MySQL, MSSql, Oracle etc. is a must.
Experience with analytics and reporting tools (Tableau, Power BI, SSRS, SSAS).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business client.
Knowledge of Logistics and/or Transportation Domain is a plus.
Hands-on with traditional databases and ERP systems like Sybase and People-soft.

Data Scientist

at Data ToBiz

2 recruiters

Posted by Ankush Sharma

Chandigarh

2 - 5 yrs

₹4L - ₹6L / yr

Algorithms

ETL

Python

Machine Learning (ML)

Deep Learning

+3 more

Job Summary DataToBiz is an AI and Data Analytics Services startup. We are a team of young and dynamic professionals looking for an exceptional data scientist to join our team in Chandigarh. We are trying to solve some very exciting business challenges by applying cutting-edge Machine Learning and Deep Learning Technology. Being a consulting and services startup we are looking for quick learners who can work in a cross-functional team of Consultants, SMEs from various domains, UX architects, and Application development experts, to deliver compelling solutions through the application of Data Science and Machine Learning. The desired candidate will have a passion for finding patterns in large datasets, an ability to quickly understand the underlying domain and expertise to apply Machine Learning tools and techniques to create insights from the data. Responsibilities and Duties As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning. One of the primary responsibilities will be to understand the business need and translate it into an actionable analytical plan in consultation with the team. Ensure that the analytical plan aligns with the customer’s overall strategic need. Understand and identify appropriate data sources required for solving the business problem at hand. Explore, diagnose and resolve any data discrepancies – including but not limited to any ETL that may be required, missing value and extreme value/outlier treatment using appropriate methods. Execute project plan to meet requirements and timelines. Identify success metrics and monitor them to ensure high-quality output for the client. Deliver production-ready models that can be deployed in the production system. Create relevant output documents, as required – power point deck/ excel files, data frames etc. Overall project management - Creating a project plan and timelines for the project and obtain sign-off. Monitor project progress in conjunction with the project plan – report risks, scope creep etc. in a timely manner. Identify and evangelize new and upcoming analytical trends in the market within the organization. Implementing the applications of these algorithms/methods/techniques in R/Python Required Experience, Skills and Qualifications 3+ years experience working Data Mining and Statistical Modeling for predictive and prescriptive enterprise analytics. 2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK. Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language. Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS. Strong foundation in Algorithms and Data Science theory. Strong verbal and written communication skills with other developers and business client Knowledge of Telecom and/or FinTech Domain is a plus.

Data Scientist

at Indix

1 recruiter

Posted by Sri Devi

Chennai, Hyderabad

3 - 7 yrs

₹15L - ₹45L / yr

Data Science

Python

Algorithms

Data Structures

Scikit-Learn

+3 more

Software Engineer – ML at Indix provides an opportunity to design and build systems that crunch large amounts of data everyday What We’re Looking For- 3+ years of experience Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Indix Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Master’s/Phd. in Computer Science/Statistics is a plus Job Expectations Experience working in text mining and python libraries like scikit-learn, numpy, etc Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyze experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production with end to end ownership.

Why apply to jobs via Cutshort