Director Data Science

About Quadratyx:

We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast more extensive experience in data sciences & analytics than most other companies in India.

We firmly believe in Excellence Everywhere.

Job Description

Purpose of the Job/ Role:

• As a Technical Lead, your work is a combination of hands-on contribution, customer engagement and technical team management. Overall, you’ll design, architect, deploy and maintain big data solutions.

Key Requisites:

• Expertise in Data structures and algorithms.

• Technical management across the full life cycle of big data (Hadoop) projects from requirement gathering and analysis to platform selection, design of the architecture and deployment.

• Scaling of cloud-based infrastructure.

• Collaborating with business consultants, data scientists, engineers and developers to develop data solutions.

• Led and mentored a team of data engineers.

• Hands-on experience in test-driven development (TDD).

• Expertise in No SQL like Mongo, Cassandra etc, preferred Mongo and strong knowledge of relational databases.

• Good knowledge of Kafka and Spark Streaming internal architecture.

• Good knowledge of any Application Servers.

• Extensive knowledge of big data platforms like Hadoop; Hortonworks etc.

• Knowledge of data ingestion and integration on cloud services such as AWS; Google Cloud; Azure etc. 

Skills/ Competencies Required

Technical Skills

• Strong expertise (9 or more out of 10) in at least one modern programming language, like Python, or Java.

• Clear end-to-end experience in designing, programming, and implementing large software systems.

• Passion and analytical abilities to solve complex problems Soft Skills.

• Always speaking your mind freely.

• Communicating ideas clearly in talking and writing, integrity to never copy or plagiarize intellectual property of others.

• Exercising discretion and independent judgment where needed in performing duties; not needing micro-management, maintaining high professional standards.

Academic Qualifications & Experience Required

Required Educational Qualification & Relevant Experience

• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related discipline from a well-known institute.

• Minimum 7 - 10 years of work experience as a developer in an IT organization (preferably Analytics / Big Data/ Data Science / AI background.

Please note - This is a 100% remote opportunity and you can work from any location.

About the team:

You will be a part of Cactus Labs which is the R&D Cell of Cactus Communications. Cactus Labs is a high impact cell that works to solve complex technical and business problems that help keep us strategically competitive in the industry. We are a multi-cultural team spread across multiple countries. We work in the domain of AI/ML especially with Text (NLP - Natural Language Processing), Language Understanding, Explainable AI, Big Data, AR/VR etc.

The opportunity: Within Cactus Labs you will work with the Big Data team. This team manages Terabytes of data coming from different sources. We are re-orchestrating data pipelines to handle this data at scale and improve visibility and robustness. We operate across all the three Cloud Platforms and leverage the best of them.

In this role, you will get to own a component end to end. You will also get to work on could platform and learn to design distributed data processing systems to operate at scale.

Responsibilities:

• Build and maintain robust data processing pipelines at scale
• Collaborate with a team of Big Data Engineers, Big Data and Cloud Architects and Domain SMEs to drive the product ahead
• Help junior team members in designing solutions and split their user stories
• Review team members’ code make sure standards are followed, verify unit test coverage
• Follow best practices in building and optimize existing processes
• Stay up to date with the progress in the domain since we work on cutting-edge technologies and are constantly trying new things out
• Build solutions for massive scale. This requires extensive benchmarking to pick the right approach
• Understand the data in and out and make sense of it. You will at times need to draw conclusions and present it to the business users
• Be independent, self-driven and highly motivated. While you will have the best people to learn from and access to various courses or training materials, we expect you to take charge of your growth and learning.

Expectations from you:

• 5-8 Years of relevant experience in Big Data preferable with pyspark
• Highly proficient in distributed computing and Big Data Ecosystem - Hadoop, HDFS, Apache Spark
• Good understanding of data lake and their importance in a Big Data Ecosystem
• Being able to mentor junior team members and review their code
• Experience in working in a Cloud Environment (AWS, Azure or GCP)
• You like to work without a lot of supervision or micromanagement.
• Above all, you get excited by data. You like to dive deep, mine patterns and draw conclusions. You believe in making data driven decisions and helping the team look for the pattern as well.

Preferred skills:

• Familiarity with search engines like Elasticsearch and Bigdata warehouses systems like AWS Athena, Google Big Query etc
• Building data pipelines using Airflow
• Experience of working in AWS Cloud Environment

Responsibilities

1. Create data funnels to feed into models via web, structured and unstructured data
2. Maintain coding standards using  SDLC, Git, AWS deployments etc
3. Keep abreast of developments in the field
4. Deploy models in production and monitor them
5. Documentations of processes and logic
6. Take ownership of the solution from code to deployment and performance

Bigdata with cloud:

Experience : 5-10 years

Location : Hyderabad/Chennai

Notice period : 15-20 days Max

1.  Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight

2.  Experience in developing lambda functions with AWS Lambda

3.  Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark

4.  Should be able to code in Python and Scala.

5.  Snowflake experience will be a plus

About Us:

GreedyGame is looking for a Business Analyst to join its clan. We are looking to get an enthusiastic Business Analyst who likes to play with Data. You'll be building insights from Data, creating analytical dashboard and monitoring KPI values. Also you will coordinate with teams working on different layers of the infrastructure.

Job details:

Seniority Level: Associate

Level Industry: Marketing & Advertising

Employment Type: Full Time

Job Location: Bangalore

Experience: 1-2 years

WHAT ARE WE LOOKING FOR?

• Excellent planning, organizational, and time management skills.
• Exceptional analytical and conceptual thinking skills.
• A previous experience of working closely with Operations and Product Teams.
• Competency in Excel and SQL is a must.
• Experience with a programming language like Python is required.
• Knowledge of Marketing Tools is preferable.

WHAT WILL BE YOUR RESPONSIBILITIES?

• Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing and implementing solutions.
• Should be able to generate meaningful insights to help the marketing team and product team in enhancing the user experience for Mobile and Web Apps.
• Leading ongoing reviews of business processes and developing optimization strategies.
• Performing requirements analysis from a user and business point of view
• Combining data from multiple sources like SQL tables, Google Analytics, Inhouse Analytical signals etc and driving relevant insights
• Deciding the success metrics and KPIs for different Products and features and making sure they are achieved.
• Act as quality assurance liaison prior to the release of new data analysis or application.

Skills and Abilities:

• Python
• SQL
• Business Analytics
• BigQuery

WHAT'S IN IT FOR YOU?

• An opportunity to be a part of a fast scaling start-up in the AdTech space that offers unmatched services and products.
• To work with a team of young enthusiasts who are always upbeat and self-driven to achieve bigger milestones in shorter time spans.
• A workspace that is wide open as per the open door policy at the company, located in the most happening center of Bangalore.
• A well-fed stomach makes the mind work better and therefore we provide - free lunch with a wide variety on all days of the week, a stocked-up pantry to satiate your want for munchies, a Foosball table to burst stress and above all a great working environment.
• We believe that we grow as you grow. Once you are a part of our team, your growth also becomes essential to us, and in order to make sure that happens, there are timely formal and informal feedbacks given

Role Summary

We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you.

Roles & Responsibilities

• Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results
• Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc.
• Facilitate review sessions with management, business users and other team members
• Design and create visualizations to present actionable insights related to data sets and business questions at hand
• Develop intelligent models around channel performance, user profiling, and personalization

Skills Required

• Having 4-6 yrs hands-on experience with Product related analytics and reporting
• Experience with building dashboards in Tableau or other data visualization tools such as D3
• Strong data, statistics, and analytical skills with a good grasp of SQL.
• Programming experience in Python is must
• Comfortable managing large data sets
• Good Excel/data management skills

•  We are looking for a Data Engineer with 3-5 years experience in Python, SQL, AWS (EC2, S3, Elastic Beanstalk, API Gateway), and Java.
• The applicant must be able to perform Data Mapping (data type conversion, schema harmonization) using Python, SQL, and Java.
• The applicant must be familiar with and have programmed ETL interfaces (OAUTH, REST API, ODBC) using the same languages.
• The company is looking for someone who shows an eagerness to learn and who asks concise questions when communicating with teammates.

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Experience: 3-9 years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Fluency with databases