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.
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Full Stack Engineer Role
🏘 Why Propacity?
In a country like India where every Indian aspires to have a home which provides both emotional & financial stability. Typically, real estate brokers are responsible for closing transaction for buyers, and sellers. In fact, the data suggests > 90% transactions occur via 1.5 million real estate brokers.
Unfortunately, real estate brokers are having a painful time managing their business on their own. This is leading to awful customer experience for buyers, and sellers.
Propacity is creating a platform which empowers real estate brokers to create trustworthy experience for Indians customers looking to invest their life savings.
🏚 What does Propacity Platform do?
- Solve for lead generation, lead management, market insights, growth opportunities, and more
- The platform makes the broker more efficient, more data informed, increases his income, and enables him to engage better with customer.
💛 Team Propacity
Started in 2020, we are of one of India's fastest-growing PropTech startup. We are a team of startup heroes, technology enthusiasts, product makers and business operators who want to create trustworthy real estate experience for Indians investing their lifesavings in the real estate.
Currently, working with over 200+ real estate brokers in 20+ Indian Cities.
Our team is super passionate, customer obsessed and extremely supportive of each other.
🚀 Why join us?
As a Full Stack Founding Engineer, you will be responsible for the technical implementation of Propacity Platform with other A+ Engineers
We are redefining the real estate industry. It will be hard and there are a ton of challenges facing us. However, with the right mindset, strategy, and the world-class team that we’re building, we know we can push the world forward, and build the biggest business imaginable.
👩🏽💻👨💻 YOUR ROLE
- Develop code for the Propacity Platform
- Collaborate with the product & design team for making decisions based on your codebase expertise
- Own the development process from the architecture stage till the product is shipped
- Promote code quality, new technologies, and architectural design within the company
- Work and develop a team of engineers who can ship fast
- Have fun collaborating with your team, and communicate as much as you can
✅ Should Have Expertise:
- Experience: You have 3+ years of professional product development experience with MERN Stack : building server applications in Node.js along with JS Frameworks, system design.
- Server expertise: Good experience with deploying applications on AWS & devops
- Databases: You have in-depth knowledge of RDMS as well as no-sql databases and are capable of designing scalable database models based on the product and security requirements. You have also experience with in-memory databases such as Redis and queuing frameworks for running tasks asynchronously.
- Front end expertise: Good understanding of React.js, frameworks, and libraries
- CS Fundamentals: You possess strong computer science fundamentals: data structures, algorithms, API’s, micro-services, distributed systems, and information retrieval.
- 3rd Party API integrations: API Integrations for fb, Instagram, google ads & more into our product
- Github: You have some JS projects/products on GitHub Repository that are worthy of public view.
- Product focused: You take pride in building innovative and shipping fast
- Problem solver: You excel at understanding and solving complex problems. You have great attention to detail.
- Quality communicator: You can break down tricky topics in writing and work with the team together
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- Location: Remote/New Delhi
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🤙 OUR HIRING PROCESS
Yes, we make sure every candidate who joins Propacity brings in the right DNA, has growth mindset, maximises peer-to-peer learning, ownership oriented and enjoys building tech products.
Step 1: You apply for the job at Propacity
Step 2: Short Intro Call with the Founder(s)
Step 3: Technical Interview Round(s)
Step 4: Evaluation of your Technical Expertise
Step 5: Founder Round for DNA Check
Step 6: Job offer rollout
Step 7: Join the Team Propacity & start building
🎁 PROPACITY BENEFITS
🕰 Generous Office Timings
- Flexible working hours
- Flexible Leave Policy
✍️ Investing in Your Growth
- Mentoring by top industry talent
- Working Directly with the Founders
- Shared Learning with Super Smart Team Members
- Ownership to build products and teams
💰 Financial Success
- Company ESOPS
- Expected CTC : 18 - 25 Lakhs per annum
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
- 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary 💸
- Work Remotely 🌎
- Health insurance 🏥
- Unlimited Time Off ⏰
- Support for continual learning (free books and online courses) 📚
- Reimbursement for streaming services (think Netflix) 🎥
- Reimbursement for gym or physical activity of your choice 🏋🏽♀️
- Flex hours 💪
- Leveling Up Opportunities 🌱
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
This new age venture has handled over 8,00,000 invoices, assisting over 5,000 suppliers through 10,000 investors in 36 locations across India. Backed by Sequoia Capital, Prime Venture Partners and Tiger Global Management this fintech startup helps in fast and secured transactions without the hassle of collaterals.
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