Kindly go through the eligibility criteria before applying
Must have skills:
- READY TO WORK FROM OFFICE
Excellent communication (English).
Graduation is mandatory .
Minimum 6 months to 4 years of experience in Inside sales
B2C Sales
Notice period preference: Immediate Joiner , 15 days.
Job Description:
End-to-End B2C Sales.
New Customer Acquisition.
Monthly targets and incentives, incentive capping at 700%.
Maintaining data and reports on a daily basis.

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Job Responsibilities:
● Conceptualizing, executing & managing branded campaigns across LBB formats on web, app & social media based on client briefs
ensuring high repeat rate
Should have worked on branded content / content marketing
● Ensuring a mix of client objectives & LBB tonality
● Social Media Marketing & execution for sales collaborations
● Client servicing: Being the SPOC for a partner brand, daily liaison, end to end life cycle management of the brand campaigns from
brief to deliverables
● Creating pitches, briefs, presentations, campaign plans, innovations & partners to maximize conversion
● Mapping daily progress of branded content & reporting the success of a campaign post closure
● Keeping up with client deadlines & incorporating feedback/changes
- Manage end to end recruitment activities by sourcing the best talent from diverse sources and handle the entire Talent management right from joining to exit
- Strong network within product companies/startups
- Work with Marketing Team and execute ways to strengthen our brand awareness
- Review and benchmark the internal and external environment to improve HR/Talent Management
- Provide excellent candidate experience at each stage of the hiring process
- Provide Analytical and well-documented reports to the hiring managers.
- 3+ years experience in Product/Start-Up companies is a must
- Ability to network and strong interpersonal skills
- Worked on positions like Data Scientist, Engineering Manager, SDET, DevOps.
- Good track record of conversions
- Excellent Written Communication!
- An open-minded and positive attitude
- Adaptable and able to fit into the work environment of a fast-growing start-up
- Strong sense of ethical responsibility
- Skilled at spreading a good vibe
- Notice Period should be lesser than one month
Responsibilities
- Software Engineering
- Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal
guidance for a market leader in the logistics industry
- Partner with team members on functional and nonfunctional requirements and spread design
philosophy, goals and improve the code quality across the team
- Research new technologies and tools that enable building the next generation of our services
- Provide technology leadership to the team and foster engineering excellence
- Product Delivery
- Partner with product managers to define and execute on the feature roadmap
- Translate business requirements into scalable and extensible design
- Coordinate with various cross functional teams on planning and execution
- Maintaining automated build / test / deployment environments
Qualifications
- Software Engineering
- Should have at least 2 years of hands on experience in designing, developing, testing and deploying
applications on Java, Ruby, Kotlin, Python, Node or Go for large scale applications
- Deep knowledge of one of the programming language they have experience in
- Proficient in OOP and Design Patterns, experience with functional programming would be a plus
- Data modelling experience in Relational Databases
- Ability to design and implement low latency RESTful services
- Product Delivery
- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency
risks.
- Well versed in working with agile methodologies which includes phases such as design, development,
code review, testing and release management
- Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source
code management tools
- Product Maintenance
- Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks
etc
- Continuously refactor applications to ensure high quality design.
As a Data Science Lead, you will be working on creating industry first analytical and propensity models to
help discover the information hidden in vast amounts of data, and make smarter decisions to deliver
even better customer experience. Your primary focus will be in applying data mining techniques, doing
statistical analysis, and building high quality prediction systems integrated with our products.
➢ Working with business and leadership teams to gathering and analyse structured and unstructured data
➢ Data mining using state-of-the-art methods
➢ Enhancing data collection procedures to include information that is relevant for building analytic
systems
➢ Processing, cleansing, and verifying the integrity of data used for analysis
➢ Doing ad-hoc analysis and presenting results in a clear manner
➢ Creating automated anomaly detection systems and constant tracking of its performance
➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support various
modelling needs.
What we are looking for:
➢ 5-8 years of relevant experience, preferably in financial services industry.
➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science or
Management from Tier 1 Institutes.
➢ Data warehousing experience will be a plus.
➢ Good conceptual understanding of statistics and probability.
➢ Experience in developing dashboards and reports using BI tools.







