About Alien Brains
We, at Alien Brains started with the belief that the human brain has no bound to what it can learn, limited only by the ifs and buts created by the other human brains around them. In fact, such is the influence on most of them, that their own brain at times becomes alien to them and thus making them forget who they really are and who they can really be few years down the line. The entire team at Alien Brains is dedicated towards helping the innovations of the mind become the reality of tomorrow.
While building our proprietary softwares, we also organize workshops, seminars and training programs for both school and college students. Aimed at giving the participants a kick-start in the technical arena, we aspire to unleash the potential of the students of today to make them the innovators of tomorrow.
We see and like to call ourselves as a cradle of innovation where we research and try to develop products that matter and also nurture the young talent buds along with us in our research work and product development, thereby giving them firsthand experience.
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About Us:
We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.
Functional Experience:
- Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
- 2+ years of data science experience working with large datasets
- Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
- Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
- Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
- Good knowledge of Machine Learning and Statistical time series analysis (optional)
- Unparalleled logical ability making you the go to guy for all things related to data
- You love coding like a hobby and are up for a challenge!
Cultural:
- Assume a strong sense of ownership of analytics : Design, develop & deploy
- Collaborate with senior management, operations & business team
- Ensure Quality & sustainability of the architecture
- Motivation to join an early stage startup should go beyond compensation
Basic Qualifications
- Need to have a working knowledge of AWS Redshift.
- Minimum 1 year of designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.
- 3 years of hands-on experience with building productized data ingestion and processing pipelines using Spark, Scala, Python
- 2 years of hands-on experience designing and implementing production-grade data warehousing solutions
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
- Excellent presentation and communication skills, both written and verbal
- Ability to problem-solve and architect in an environment with unclear requirements
- 5+ years of experience in software development.
- At least 2 years of relevant work experience on large scale Data applications
- Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
- Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
- Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
- Kafka
- J2EE Frameworks (Spring/Hibernate/REST)
- Spark Streaming or any other streaming technology.
- Java programming language is mandatory.
- Good to have experience with Java
- Ability to work on the sprint stories to completion along with Unit test case coverage.
- Experience working in Agile Methodology
- Excellent communication and coordination skills
- Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
- Must be able to integrate quickly into the team and work independently towards team goals
- Take the complete responsibility of the sprint stories’ execution
- Be accountable for the delivery of the tasks in the defined timelines with good quality
- Follow the processes for project execution and delivery.
- Follow agile methodology
- Work with the team lead closely and contribute to the smooth delivery of the project.
- Understand/define the architecture and discuss the pros-cons of the same with the team
- Involve in the brainstorming sessions and suggest improvements in the architecture/design.
- Work with other team leads to get the architecture/design reviewed.
- Work with the clients and counterparts (in US) of the project.
- Keep all the stakeholders updated about the project/task status/risks/issues if there are any.
- Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
- Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
- Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
- Build data pipelines that clean, transform, and aggregate data from disparate sources
- Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
- Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
- Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
- Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.
Job Qualifications:
- Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
- 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
- Technical expertise with data models, data mining.
- Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
- Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
- Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
- Hands-on knowledge in SQL and No-SQL database design.
- Having knowledge in CI/CD for the building and hosting of the solutions.
- Having AWS certification is an added advantage.
- Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
- A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
- Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
- A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists
Job Description
We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
- Experience with Deep Learning preferred.
- Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Great communication skills
- Proficiency in using query languages such as SQL, Hive, Pig
- Good applied statistics skills, such as statistical testing, regression, etc.
- Good scripting and programming skills
- Data-oriented personality
What you will be doing:
As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -
- Dive into the data and identify patterns
- Development of end-to-end Credit models and credit policy for our existing credit products
- Leverage alternate data to develop best-in-class underwriting models
- Working on Big Data to develop risk analytical solutions
- Development of Fraud models and fraud rule engine
- Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
- Working on cutting-edge techniques e.g. machine learning and deep learning models
Example of projects done in past:
- Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
- Fraud model development, deployment and rules for EMEA region
Basic Requirements:
- 1-3 years of work experience as a Data scientist (in Credit domain)
- 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
- Strong problem solving and understand and execute complex analysis
- Experience in at least one of the languages - R/Python/SAS and SQL
- Experience in in Credit industry (Fintech/bank)
- Familiarity with the best practices of Data Science
Add-on Skills :
- Experience in working with big data
- Solid coding practices
- Passion for building new tools/algorithms
- Experience in developing Machine Learning models