Data Scientist

• Design, build web crawlers to scrape data and URLs.
• Integrate the data crawled and scraped into our databases
• Create more/better ways to crawl relevant information
• Strong knowledge of web technologies (HTML, CSS, Javascript, XPath, Regex)
• Understanding of data privacy policies (esp. GDPR) and personally identifiable information
• Develop automated and reusable routines for extracting information from various data sources
• Prepare requirement summary and re-confirm with Operation team
• Translate business requirements into specific solutions
• Ability to relay technical information to non-technical users
• Demonstrate Effective problem solving and analytical skill
• Ability to pay attention to detail, pro-active, critical thinking and accuracy is essential
• Ability to work to deadlines and give realistic estimates

Skills & Expertise

• 2+ years of web scraping experience

• Experience with two or more of the following web scraping frameworks and tools: Selenium, Scrapy, Import.io, Webhose.io, ScrapingHub, ParseHub, Phantombuster, Octoparse, Puppeter, etc.
• Basic knowledge of data engineering (database ingestion, ETL, etc.) 
• Solution orientation and "can do" attitude - with a desire to tackle complex problems.

Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. 

We are looking for experienced data enthusiasts who can make the data talk to them. 

You will: 

• Understand business problems and translate business requirements into technical requirements. 
• Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. 
• Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. 
• Gather requirements and communicate findings in the form of a meaningful story with the stakeholders  
• Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. 
• Lead and mentor data analysts. 

We are looking for someone who has: 

• Apart from your love for data and ability to code even while sleeping you would need the following. 
• Minimum of 02 years of experience in designing and delivery of data science solutions. 
• You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. 
• Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. 
• Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. 
• Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics 

Skillset Required:

• Regression
• Classification
• Predictive Modelling
• Prescriptive Modelling
• Python
• R
• Descriptive Modelling
• Time Series
• Clustering
•  

What is in it for you: 

• Be a part of building the biggest brand in Data science. 
• An opportunity to be a part of a young and energetic team with a strong pedigree. 
• Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

Please Note:  

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions. 

• Key responsibility is to design, develop & maintain efficient Data models for the organization maintained to ensure optimal query performance by the consumption layer.
• Developing, Deploying & maintaining a repository of UDXs written in Java / Python.
• Develop optimal Data Model design, analyzing complex distributed data deployments, and making recommendations to optimize performance basis data consumption patterns, performance expectations, the query is executed on the tables/databases, etc.
• Periodic Database health check and maintenance
• Designing collections in a no-SQL Database for efficient performance
• Document & maintain data dictionary from various sources to enable data governance
• Coordination with Business teams, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
• Data Governance Process Implementation and ensuring data security

Requirements

• Extensive working experience in Designing & Implementing Data models in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc).
• Programming experience using Python / Java.
• Working knowledge in developing & deploying User-defined Functions (UDXs) using Java / Python.
• Strong understanding & extensive working experience in OLAP Data Warehousing (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) architecture and cloud-native Data Lake (S3, ADLS, BigQuery, etc) Architecture.
• Strong knowledge in Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model.
• Extensive technical experience in SQL including code optimization techniques.
• Strung knowledge of database performance and tuning, troubleshooting, and tuning.
• Knowledge of collection design in any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc), along with implementation of best practices.
• Ability to understand business functionality, processes, and flows.
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
• Any OLAP DWH DBA Experience and User Management will be added advantage.
• Knowledge in financial industry-specific Data models such as FSLDM, IBM Financial Data Model, etc will be added advantage.
• Experience in Snowflake will be added advantage.
• Working experience in BFSI/NBFC & data understanding of Loan/Mortgage data will be added advantage.

Functional knowledge

• Data Governance & Quality Assurance
• Modern OLAP Database Architecture & Design
• Linux
• Data structures, algorithm & data modeling techniques
• No-SQL database architecture
• Data Security

We are looking for an exceptional Data Scientist who is passionate about data and motivated to build large scale machine learning solutions. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modelling of terabytes of daily data for various use cases

Typical persona: Data Science Manager / Architect

Experience: 8+ years programming/engineering experience (with at least last 4 years in big data, Data science)

Must have:

• Hands-on Python: Pandas, Scikit-Learn
• Working knowledge of Kafka
• Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)
• Good on analytical & debugging skills
• Strong communication skills

Desired (in order of priorities):

• Go (Strong advantage)
• Airflow (Strong advantage)
• Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databases
• Data structures, Algorithms
• Experience with multi-threaded and thread sync concepts
• AWS Sagemaker
• Keras

• Should have strong experience in Python programming minimum 4 Years

Roles And Responsibilities

• Assist and Support smooth running of the day-to-day operations in the organization
• Monitoring and measuring the operational performance of Fast-Moving Consumer Goods’ Brands.
• Monitoring performance metrics defined across stakeholders.
• Receiving and responding to approvals and notifications related to various tools within the organization
• Interfacing with all sections within the Operations department
• Take charge of ops preparation of new projects when within the domain of Operations Dept
• All other duties as requested by the management

Requirement

• Minimum Qualification - Graduate/Engineering or equivalent
• Candidate with at least 1-2 Years of working experience in the similar capacity
• Good communication and interpersonal skills
• Proficiency in tools like Excel, SQL (Mandatory), and Python (Preferred but not mandatory)
• Analytical capability
• Location: Gurgaon

• Experience implementing large-scale ETL processes using Informatica PowerCenter.
• Design high-level ETL process and data flow from the source system to target databases.
• Strong experience with Oracle databases and strong SQL.
• Develop & unit test Informatica ETL processes for optimal performance utilizing best practices.
• Performance tune Informatica ETL mappings and report queries.
• Develop database objects like Stored Procedures, Functions, Packages, and Triggers using SQL and PL/SQL.
• Hands-on Experience in Unix.
• Experience in Informatica Cloud (IICS).
• Work with appropriate leads and review high-level ETL design, source to target data mapping document, and be the point of contact for any ETL-related questions.
• Good understanding of project life cycle, especially tasks within the ETL phase.
• Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.
• Excellent communication and presentation skills.
• Effectively worked on the Onsite and Offshore work model.