Social Media Manager

Job Title: Data Science Manager
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,
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.

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

Position: Sales Person

Location: Salt Lake, Kolkata

Experience: 6 months and above

Salary: upto 13,000 pm

Qualification: Graduate in any field

Wanted Male Candidate

Skills: 

• Basic MS Excel and MS Word.
• Passionate for Sales.
• Fluent Verbal Communication Skill.
• Fluent in English, Bengali and Hindi.
• Confident in speaking.

Responsibilities:

• Attending customers in showroom.
• Explaining the features and products to the customers.
• Opening and closing the showroom.
• Maintaining showroom cleanliness.
• Calling leads generated from the marketing activities.
• Calling customers for feedback.

AngularJS Developer Job Description 
We are looking to hire an experienced AngularJS Developer to join our dynamic team. As a
Developer, you will be responsible for creating a top-level coding-base using Angular best
practices. Your role will require you to implement an exciting and streamlined user experience in
the form of a Java-based desktop and mobile web-app.
To ensure success as an AngularJS Developer, you should have extensive knowledge of
theoretical software engineering, be proficient in JavaScript, HTML, and CSS, and have
excellent project management skills. Ultimately, a top-class AngularJS Developer can design
and build a streamlined application to company specifications that perfectly meet the needs of
the user.
AngularJS Developer Responsibilities:
 Designing and developing user interfaces using AngularJS best practices.
 Strong in UI Development
 Strong in Angular 7 and above
 Good knowledge on Bootstrap framework
 Strong in developing Single Page Applications
 Adapting interface for modern internet applications using the latest front-end
technologies.
 Writing JavaScript, CSS, and HTML.
 Developing product analysis tasks.
 Making complex technical and design decisions for AngularJS projects.
 Developing application codes and unit tests in AngularJS, Java Technologies, and Rest
Web Services.
 Conducting performance tests.
 Consulting with the design team.
 Ensuring high performance of applications and providing support.
AngularJS Developer Requirements:
 Bachelor’s Degree in Computer Science, Computer Engineering or similar.
 Previous work experience as an AngularJS Developer.
 Proficient in CSS, HTML, and writing cross-browser compatible code.
 Experience using JavaScript building tools like Gulp or Grunt.
 Knowledge of JavaScript MV-VM/MVC frameworks including AngularJS.
 Excellent project management skills.
 Proven experience implementing front-end and back-end JavaScript applications.
 Excellent communication skills.
 Critical thinker and good problem-solver.

Location:

 Willing to work from Hyderabad location

 We are Equal Opportunity Employer/Disability/Veterans
 Willing to join immediately or within 15 days

• Source, interview, and select applicants for various positions.
• Sound knowledge on Sourcing Candidates thru REDEX, Monster & various Job Sites.
• Foster long-term relationships with candidates and clients
• Sourcing from different job boards. Excellent knowledge in Boolean function & usage of various job board databases.
• Draft job descriptions, push them through all talent acquisition channels, and coordinate candidate sourcing with the same.
• Doing junior to middle-level hiring for all IT verticals.
• Review applicants to verify if position requirements are met.
• Format resumes meeting client expectations.
• Telephonic Screening of the profiles checking for Technical Fitment, Behavioural Fitment, Stability, etc.
• Utilize your innovative and effective convincing and negotiation skills to impress and attract top talent.
• Follow up with candidates and clients and maintain records of progress.

Roles & Responsibilities:.

• Ability to build strong relationships.
• Self-confidence and self-starter.
• Excellent written and oral (phone) communication skills a MUST.
• Good sense of humor

• Execute and manage the company’s brand strategy as well as corresponding brand elements in order to maximize the brand’s equity
• Responsible for the creation and placement of advertising that is in support of the business’s initiatives through media planning, creative development, metrics, market research, and vendor management.
• Drive programs and projects across the various customer touch points to drive customer consideration and trust for our products
• Execute aggressive multi-channel marketing plans to drive customer acquisition and retention
• Take ownership of the brands voice by defining guidelines and best practices across products and platforms
• Work with digital teams to create digital first assets that can help drive acquisition & engagement
• Establish metrics for the purpose of measuring campaign effectiveness against KPI’s.
• The role will report to the Head of Brand marketing

 

Key skills

 

• Customer Centricity
• Innovative and creative thought process
• Analytical
• Exposure to Brand Communication and Media Planning
• Prior experience in an internet/digital company, or managing digital first brands is preferred

 

Industry we can Look at: FMCG/ Consumer Durable/Retail or any B2C

 

Based Location: Bangalore (work from Office)

 

 

 

Design and Build iOS product and Platform

• IOS coding using Objective C and Swift Ensuring quality deliverables, fixing application defects, maintaining code and implementing application updates.
• Designing coding, Documenting design, Defect free deliverables.
• Ensure the performance, quality, and responsiveness of application.

General
● 3-5 Years of hands-on experience creating public, complex web and mobile systems using multiple languages.
● Proficient in at least three core development technologies used within XSEED.
● Good knowledge of AGILE product development lifecycle and the process tools: SCRUM, JIRA-like tools; Familiarity with Pair Programming is a must.
● Proficient understanding of code versioning tools, such as Git.
● Passion for learning, fiddling, tinkering, researching, teaching and sharing. You should have strong interpersonal skills in order to collaborate with colleagues on correcting software issues. In addition, you should also have a continuous desire to learn new things. Technology is constantly evolving, and you will need to learn new programming languages and software design methods as they arise.
● Knowledge in NLP, ML and Computer Vision frameworks would make you stand apart and be a major plus point.
Front-End
● Proficient understanding of web markup, including HTML5, JavaScript, CSS3.
● Proficient understanding of at-least one of these JavaScript frameworks: ReactJS, VueJS, AngularJS.
● Proficient understanding of asynchronous request handling, partial page updates, and AJAX.
● Proficient understanding of cross-browser compatibility issues and ways to work around them.
● Good understanding of server-side CSS pre-processing platforms, such as LESS and SASS.
Back-End
● Proficient knowledge of one or more back-end programming languages and frameworks such as NodeJS, Ruby on Rails or Django.
● Proficient understanding of both relational and non-relational database technologies such as MySQL, PostgreSQL and MongoDB.
● Good understanding of user authentication and authorization between multiple systems, servers, and environments.
● Good understanding of building light, API-only microservices and deploy them using Docker and Kubernetes.
Familiarity with mobile technologies would be a significant bonus, like the iOS Swift SDK, Android Kotlin SDK, or better yet, the Flutter Dart framework.