Director of Technology

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

PYTHON, SQL, TensorFlow, NumPy, SciPy, Pandas

Advertising at our client is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on our clients portal and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies.The Supply Quality organization in Bangalore has the charter to solve optimization problems for ad programs to ensure high-quality ad-impressions. We develop advanced algorithms and systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems.

The Supply Quality infrastructure(SQI) team builds large-scale real-time transactional solutions, batch and stream processing systems, internet scale crawling solutions and storage infrastructure. We process bid requests in the orders of tens of billions per day with our real-time, batch and stream processing systems. To handle data at this scale, we use cutting-edge open source technologies like Hadoop, Spark, Redis etc.. We are not tied to one technology. Instead, we use what is best suited for the purpose. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. All our systems need to also implement complex machine learning and optimization algorithms at scale. 

We are looking for a talented Engineering Manager to lead a new big-data engineering initiative within SQI. The team will own building highly available, efficient and low latency internet scale infrastructure including web-scale crawler, contextual processing and classification systems that will be used across multiple advertising use cases. As a leader of the team, you will be responsible to evolve the charter of the team, work with stakeholders to set goals and deliver them. To succeed, you need to demonstrate sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You will be responsible for fostering a culture of engineering excelllence towards delivering cutting-edge solutions that materially improve customer experience.


Primary responsibilities:

• Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics
• Work with business leaders and product managers to define product requirements.
• Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments
• Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner
• Build and maintain world-class customer experience and operational excellence for your deliverables
• Hire, manage, mentor and grow a high performance team of Software Engineers