Brief Description of position:

SymphonyAI – who we are, and what we do

SymphonyAI’s mission is to transform the business enterprise through artificial intelligence driven solutions. The firm is harnessing the power of a $1B investment under the leadership of Dr. Romesh Wadhwani, a highly successful entrepreneur and business executive in Silicon Valley. The organization has embarked on an ambitious initiative to create companies from the ground up across a variety of verticals to conceive of and build next generation AI and machine learning infused companies. Since inception in 2017 the organization has demonstrated substantial scale and success through a unique blend of early stage ideation, incubation mindset, venture capital dynamics and private equity discipline to grow to over $300M in annual revenues with over 1,500 employees worldwide, with companies ranging in diverse areas like - healthcare, retail, CPG, IT operations, talent acquisition, industrial IoT, media along with highly differentiated technology innovations leveraging AI, machine learning, natural language processing, unsupervised learning and optimization approaches.

The leadership team consists of seasoned serial entrepreneurs, technologists and executives from a variety of successful companies in the San Francisco Bay Area, New York, Denver, Boston and Bangalore. The team has a stellar record of building successful companies focused on highperformance computing, large data infrastructure, algorithmic intelligence and a razor-sharp focus on the ability to deliver on product-market fit in disparate domains.

SymphonyAI Thesis – AI and machine learning have successfully transformed a variety of consumer facing applications and industries due to the convergence of smart phones/IoT, cloud computing, advancements in AI models and open-source on-demand, elastic approaches to computing. Transformation akin to that shall bring unprecedented levels of productivity, intelligence and expansion of traditional enterprise software platforms within B2B as well. We will lead this effort with innovative software products that aim to bring a System of Intelligence with real-time engagement paradigms and decision support systems for always-on optimization, to be complementary to the Systems of Record prevalent in enterprises today.

Symphony CrescendoAI – who we are, and what we do

Symphony CrescendoAI is an AI platform technology leader that emanated from the acquisition of Ayasdi by SymphonyAI. Symphony CrescendoAI is pioneering technology based on Topological Data Analysis, an innovative approach conceived of and invented by a group of Stanford University mathematicians and computer scientists to leverage Unsupervised Learning and Explainable AI based techniques to tackle problems relating to anomaly detection, segmentation, hotspot detection, recommendations, predictions, trends, and forecasts across multiple domains.

Backed with over 20 years of academic research in Algebraic Topology, Symphony CrescendoAI has built a unique, data platform for machine learning (supervised, unsupervised and reinforcement) applications by combining mathematical rigor with cloud computing to discern meaning from arbitrary data sets by analyzing the “shape” that is inherent to multi-dimensional data spaces. Symphony CrescendoAI has demonstrated that this approach delivers between 50% to 1000% better outcomes than the traditional mix of machine learning techniques. The uniqueness of the approach is accompanied by explainable models and enabling “unlabeled” datasets to do it. True cross-vertical applicability of this approach has been proven in Financial Services, Healthcare, Telecom, High-Tech Manufacturing and the National Security arenas.

Given the disparate set of use cases where Symphony CrescendoAI has found significant success, SymphonyAI plans to leverage Symphony CrescendoAI’s machine learning platform across its portfolio of companies as well as create an engine that accelerates incubation of AI-enabled businesses across multiple verticals.

What We're Looking For

You will join highly motivated and talented team of data scientist and machine learning engineers, incubating and developing niche data science solutions across industry verticals, in a fast-paced business environment.

Position Overview

Senior Data Scientist

As a Senior Data Scientist at CrescendoAI , you will be responsible for owning of design and development of one or more data science solutions with appropriate choice of statistical and machine learning algorithms. Your resourcefulness, inquisitive aptitude, creative problem-solving capabilities and diligence in project delivery will be immensely valued.

Roles Responsibilities

• Research & develop Machine Learning models for defined solution.
• Apply research methodologies to identify the Machine Learning models for the problem at hand.
• Ensures that appropriate documentation and training materials are created by close collaboration with Marketing and Product functions.
• Work collaboratively with engineering and product management in application, algorithm design and customer feedback.

Requirement

• Masters/PhD in CS/IT/Data Science/EE/Mathematics and computing with 8+ years of experience
• Candidate should be in consulting Data Scientist role for 5 or more years
• Experience in implementing and deploying Machine Learning solutions in production
• Along with Data Science, candidate is required to have prior experience in software development using object-oriented programming and database. Knowledge of BigData - Hive, Hadoop, Spark will be a plus.
• Experience of developing AI product will be a big plus.
• Candidate will have direct exposure to customers / partners / executives in SAI/CAI. Should be independent to work without directions.
• Self-starter and self-motivated.

Skills –

• Object Oriented programming in any language - C++, Java, Python etc
• Must have good working knowledge of Relational Databases - especially complex joins.
• Experience of working with large datasets on database (RDBMS, Hive, Datawarehouse) for Data science problem using python or other languages.
• Programming language – Object Oriented programming in Python (must). Java, R, C/C++ is additional.
• Data science skills – Unsupervised learning (must), supervised learning using classical machine learning, outlier detection, anomaly detection. Skills in NLP and deep learning are plus, but not a required criteria for selection.
• Proficiency in data science solutions in retail / health care / media / telecom are preferred.
• Proficiency in feature engineering and exploratory data analysis
• Ability to define problem statement and plan of execution of data science projects
• Should have strong communication and presentation skills.

Location

Bangalore