Sales Executive- International SEO, GLL, Website sales jobs
kolkata location jobs.
Immediate joiners required for night shift !!
We are hiring for Website Sales (Outbound Voice)
Shift: US Shift (Night)
Designation: CCE/ Team Lead.
Process: B2B Website process.
Salary: Upto 15K +Huge Incentives+other benefits
5 Days Working, saturday and sunday fixed off.
Experience Required: minimum 6 months in B2B Website Sales.
Candidates should be comfortable to work in Night shift
Immediate joiners required.
Aryston web solution pvt. ltd.

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Experience: 8–15 years
Key Responsibilities:
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- Collaborate with application, infrastructure, and cloud teams for end-to-end migration activities.
Must-Have Skills:
- 8–15 years of strong Oracle DBA experience.
- Hands-on expertise in Oracle GoldenGate.
- Proven experience in DB migration projects.
- Strong knowledge of Oracle RAC, Data Guard, RMAN, performance tuning, and troubleshooting.
- Good understanding of Unix/Linux and SQL/PLSQL.
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Location: Bangalore / Hyderabad
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At Ocean Friends, we are looking to positively impact the lives of families dealing with chronic health conditions through technology. We are looking for self-driven, and motivated Software Engineers with intent and ability to work across a variety of technology problems, including, but not limited to Mobile app development, AI/ML, and User experience.
Job description:-
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Responsibilities
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Job 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,
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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:
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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
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economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
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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
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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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Skills:
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