Data Scientist

 

What you need to have:

 

-Experience with Python and Data Scraping.
- Experience with relational SQL & NoSQL databases including MySQL & MongoDB.
- Familiar with the basic principles of distributed computing and data modeling.
- Experience with distributed data pipeline frameworks like Celery, Apache Airflow, etc.
- Experience with NLP and NER models is a bonus.
- Experience building reusable code and libraries for future use.
- Experience building REST APIs.

Preference for candidates working in tech product companies

We are a US Headquartered Product Company looking to Hire a few Passionate Deep Learning and Computer Vision Team Players with 2-5 years of experience! If you are any of these:
1. Expert in deep learning and machine learning techniques,
2. Extremely Good in image/video processing,
3. Have a Good understanding of Linear algebra, Optimization techniques, Statistics and pattern recognition.
Then u r the right fit for this position.

Responsibilities:

Complete accountability for delivering 1-2 projects from conception to implementation

Managing the team of Associates and Senior Associates

Interviewing client intelligently to learn important figures and gather requirements

Managing project timing, client expectations and meeting deadlines

Creating smart & impactful PowerPoint presentations

Playing proactive role in business development (preparing sales collaterals, pitch documents etc.)

and organization building (training, recruitment etc.)

Presentation of final results to the client and discuss further opportunities within/outside the

project along with maintaining documentation and reports

Plan deliverables and milestones for the project that you are responsible for

Provide business analysis and business area assessment

Facilitate meetings within the team on regular basis

Track and report team hours

Behavioural Competences:

This candidate must have the ability to think strategically and analytically in order to effectively

assess each assignment

Excellent written and oral communication skills

Ability to work in tight deadlines & under pressure

Excellent interpersonal & organizational skills

Good listening and comprehension and management skills

Willingness to travel/work abroad

Instart Logic is the world’s first endpoint-aware application delivery solution that makes websites and applications fast, secure, and easy to operate. Instart Logic’s platform combines machine learning, virtualization, and open APIs with a content delivery network (CDN) for global delivery. Using Instart Logic, organizations like Kate Spade, Office Depot, and Washington Post can provide ultra-fast, visually immersive and secure experiences on any device to maximize revenue, deliver superior customer experiences, and gain competitive advantage. Instart Logic is funded by Andreessen Horowitz, Greylock, Kleiner Perkins, Stanford, Telstra, and several other notable Silicon Valley investors. You: Have you had a desire to Innovate and work on game changing disruptions in propelling a faster internet? Have you had a desire to contribute and ship code to production and get real time feedback on how your feature is performing? Have a desire to solve some of the most challenging problems in computer science? Have a desire to work with and learn from team of very high calibre computer scientists and researchers in an environment that fosters teamwork and creativity? Have a desire to publish your work in leading academic journals and industry conferences? If you answered YES to any of the above, you can start filling your look ahead buffer!

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

About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.