

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.
What we are looking for-
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.

About Ganit Business Solutions
About
Ganit Inc. is in the business of enhancing the Decision Making Power (DMP) of businesses by offering solutions that lie at the crossroads of discovery-based artificial intelligence, hypothesis-based analytics, and the Internet of Things (IoT).
The company's offerings consist of a functioning product suite and a bespoke service offering as its solutions. The goal is to integrate these solutions into the core of their client's decision-making processes as seamlessly as possible. Customers in the FMCG/CPG, Retail, Logistics, Hospitality, Media, Insurance, and Banking sectors are served by Ganit's offices in both India and the United States. The company views data as a strategic resource that may assist other businesses in achieving growth in both their top and bottom lines of business. We build and implement AI and ML solutions that are purpose-built for certain sectors to increase decision velocity and decrease decision risk.
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Intro
We are looking for an Software Engineer (SDE1) to join our team and drive the technology growth of our pay later platform. At Rely, we want passionate and talented individuals that want a challenge building the next generation payment products for Millennials across Asia. Together we will build the best products using amazing technology.
What will you do
- Design and implement business critical, high performance large scale services.
- Translate business requirements into scalable and extensible design.
- Coordinate with cross functional teams (Data, UX, QA etc.) on planning and execution.
- Continuously improve code quality, product execution and customer delight.
- Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies.
- Building and managing automated build/test/deployment environments.
- Work with team members on functional and nonfunctional requirements and spread goals across the team.
What will you need
- 2+ years of hands-on experience with python and a backend framework (ideally django)
- 1+ years Hands-on experience working with Javascript and JS frameworks (Angular, React)
- Hands-on experience in designing, developing, testing and deploying applications large scale applications in any language or stack
- Experience working with high scale distributed systems.
- Practical knowledge of scalable software design.
- Good working knowledge of AWS
- Proficient with APIs, web protocols, OAuth, git.
- Ability to understand and implement Continuous Integration and Continuous Delivery.
- Well versed with Lean methodologies, TDD and Test Engineering and Automation.
- Ability to design and implement low latency RESTful services.
- Willingness to learn new languages and methodologies.
What would be a bonus
- Experience in production environments with large data sets
- Experience in scaling systems to millions of users.
- Work experience in a fast-growth startup
- Experience in DevOps tools but not limited to Docker, Kubernetes
- Experience in Gunicorn and Nginx

