Fractal Analytics Hiring Hackathon
About the Event
Participate in Fractal Analytics Hiring Hack to claim your chance of glory – the best people will be shortlisted for hiring at Fractal Analytics. To top it up, the winner would take prize upto INR 1,00,000 in form of joining bonus. What are you waiting for? This might as well be the battle of your life. Register here and come back prepared as the clock strikes 12 midnight of 1st – 2nd July 2017.
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Company: Fractal Analytics
Founded in 2000, Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process.
Fractal Analytics has a presence across 12 global locations including the United States, UK and India and has been recently featured as a “Hot Artificial Intelligence (AI)” company by Forbes. Fractal has also been recognized as a “Cool Vendor” and a “Vendor to Watch” by Gartner.”
Here are the Job Opportunities
1. Senior Consultant - Advanced Analytics
Asia Pacific - Bengaluru/ Mumbai/ Gurgaon, Karnataka/ Maharashtra/ Haryana, India - Full Time
Position Expectations
- Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams for Fractal
- Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights
- Manage a team of 3-4 analysts on advanced analytics engagements for a technology major
- Proactively identify new areas of engagement and work on sales pitches
- Manage project & client on a day-to-day basis, and improve existing processes
- Effectively provide consultancy to clients on various aspects of their business using data analytics
Qualification & Experience
- Knowledge of SAS/R mandatory
- Should have at least 4-5years of hands-on modeling experience on SAS or R
- Knowledge of at least a few analytical approaches required
- Should have 1-2 years of experience in marketing/campaign analytics.
- Experience in Python / Machine Learning
- Excellentproblem solvingskills and communication skills required
- Should have worked on engagements that require interpreting findings & extracting insights
Education:Preferably an MBA or an Engineer with relevant experience
2. Data Scientist
Asia Pacific - Bengaluru/ Mumbai/ Gurgaon, Karnataka/ Maharashtra/ Haryana, India - Full Time
Position Description
Our artificial intelligence and machine learning team needs Data Scientists with the capability to perform independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML (Artificial Intelligence & Machine Learning) space, then we would like to talk with you. Individuals should be able to break down business problems into smaller components and implement ML approaches to empower the end business decisions
Job Responsibilities
- Ability to understand a problem statement and implement analytical solutions & techniques independently
- Work and collaborate with the project teams to deliver and create value for clients
- Fast learner: ability to learn and pick up a new language/tool/ platform quickly
- Conceptualize, design and deliver high-quality solutions and insightful analysis
- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.
- Provide solutions but not limited toCustomer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Qualification & Experience
Mandatory:
- Intermediate to expert level proficiency in at least one of R and Python
- Experience of working on a project end-to-end: problem scoping, data gathering, EDA, visualizations, modeling and insights
- Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
- Intermediate to expert level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST etc.
- Working experience and statistical clarity in traditional algorithms like time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering and related areas
- Structured thinking and articulating the algorithms used to internal project teams/ clients in a simplified manner
Preferred:
- Intermediate to expert level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning, NLP, image processing, recommender systems
- Good to have experience of working in on one or more domains:
- CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management
- BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
- Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse
- Fair understanding of distributed computing in multicore and/or clusters, especially using R/Python
- Experience in participation at global analytics contests like Kaggle
- Experience working within a Linux computing environment and use of command line tools
- Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how version control software works, especially Git.
- Experience in designing basic UI – JavaScript, CSS, and PHP
- Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, and the AWS CLI)
- Thorough grasp at data structures including RDBMS, NoSQL, MongoDB etc.
3. Senior Data Scientist
Asia Pacific - Mumbai, Maharshtra, India - Full Time
Role Brief:
We are looking for an experienced candidate passionate about Artificial Intelligence and its applications. The ideal candidate must have proven expertise in Artificial Intelligence (including Deep Learning algorithms, GPU programming, distributed computing), Machine Learning and/or Natural Language Processing. The candidate must also have expertise in programming, traditional Machine Learning algorithms such as Random Forest, GBM etc., algorithm design and usage. We are looking for people who love challenges and design new things.
You will lead a small, accomplished team of AI researchers and engineers building new and interesting AI applications across banking, financial services and other domains
Must Have:
- 4+ years experience in AI and Machine Learning
- Masters/PhD in Computer Science, Math, Engineering, Statistics, Economics or other quantitative fields from top tier institute
- Programming expertise in atleast two of Python/Java/Scala
- Preferred experience with large data sets and distributed computing (Spark/Hadoop)
- Experience with Deep Learning and AI packages (e.g., Theano/TensorFlow/DeepLearning4j)
- Knowledge of traditional Machine Learning algorithms like Random Forests, GBM etc.
- Fluency with SQL databases
- Proven experience in leading data driven projects from definition to execution
- Strong problem-solving skills
Nice to Have:
- Experience in servicing clients for analytics in Banking/Financial Services
- Experience with databases such as Cassandra, MySQL
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Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Depending on the type of competition, you can participate individually or in a team.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
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