ROLES
We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly.
Job Location: Work from home
Selection process: HR Round followed by group discussion and sales manager round.
Qualification: Any Graduate/Post Graduate
Salary offered: As per industry standards
Working days: 6 days Sunday is off
Shifts:10:00am -7:00pm
Mandatory language: English
Laptop/wi-fi: candidates are to use their own laptops,
Additional Compensation: If applicable, this will be decided on the basis of your designation.
Key responsibilities:
1. Creating an inspiring team environment with an open communication culture
2. Setting clear team goals
3. Oversee day-to-day operation
4. Monitor team performance and report
5. Motivate team members
6. Generate sales through customer referrals
7. Review the sales team performance and explore sales improvement initiatives to achieve the sales targets for the project
8. Conduct sales review meetings with the sales team on a periodic basis
9. To recruit good quality prospective sales candidate and ensure that they are completing probation in order to achieve the sales target set by the company
Shubham Vishwakarma
Full Stack Developer - Averlon
About JNJ Technologies and Services LLP
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Data Science
Machine Learning (ML)
PythonJob Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
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Redux/FluxAbout Spinny
Founded in 2015
O2O Model focusing on selling high quality certified refurbished cars
Offering 5 Days no question money back + 1 year warranty
Over 10 outlets in 5 Cities: Delhi NCR, Bangalore, Mumbai, Pune & Hyderabad. (Launching in 3 more cities soon)
Over 10000+ supremely happy customers
Business Model
Working on a transactional and fulfilment model, Spinny is the go-to platform for buying and selling used cars.
Offering convenient transactions to the customers
One of the key differentiating factors is that its price engine, which works
on a proprietary neural network-based algorithm, determines the correct price of the car.
Spinny also takes care of all the paperwork, from registration to title transfers as well as assisting buyers in financing their purchase.
Frontend Developerswho possess passion for pushing web technologies to the limits and will work with our team of talented engineers to design and build the next generation of the Spinny web application.
Software Development Engineer: Frontend
Our Culture
Over 750 Spinners in the ecosystem Fast track growth environment Fostering strength driven culture Culture philosophy of social, agile and sustainable Top 50 global technology
Crunchbase
Series A & Series B funding by SAIF & ACCEL & ALTERIAFrontend Developers who possess passion for pushing web technologies to the limits and will work with our team of talented engineers to design and build the next generation of the Spinny web application.
What you'll do
You are a perfect match with us, if you have:
Experience in javascript frameworks such as React,, etc and a good understanding of the basics of these frameworks and their life cycles.
Experience with popular React.js workflows (such as Flux or Redux).
Familiarity with newer specifications of ECMAScript (ES6 ES7).
Bachelors/ Masters degree in Computer Science, Engineering, preferably from IITs/Top RECs.
1-5 years of experience at cutting edge organizations or startups
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon