4+ Decision Science Jobs in Bangalore (Bengaluru) | Decision Science Job openings in Bangalore (Bengaluru)

Job Description: Decision Science Openings at Couture AI
About Company
Couture AI Platform provides Pluggable Building Blocks to entire
AI stack, which are used to build and productionize varied
enterprise ML and deep learning use cases. It has enabled some
of largest global organizations implement specific vertical
targeted products build on top of its proprietary AI platform.
Nature of Business Artificial Intelligence Platform
Company Website www.couture.ai
Job Designation Product Manager - Decision Science
Job Location Bengaluru
Job Description &
Skills Required
Basic Qualifications:
• Bachelors (+Masters preferred) in Computer
Science/Mathematics/Research (Machine Learning, Deep
Learning, Statistics, Data Mining, Game Theory or core
mathematical areas) from Tier-1 institutes (IITs, IISc, BITS, IIITs,
top-ranked global Universities) with good individual academic
score.
Looking for decision science managers.
• Strong working knowledge of deep learning, machine
learning, and statistics.
- Domain understanding of Personalization, Search, Visual
and Videos.
• Expertise in using Python, statistical/machine learning libs.
• 5+ years of hands-on experience defining large scale AI
solutions and its deployment for millions of customers.
• Expertise with understanding the raw data, data
transformation and feature selection.
• Expertise with understanding of metric-driven impact-analysis
of the AI solutions.
• Ability to think creatively and solve problems.
Key Responsibilities:
• Take ownership of end-to-end engagement from defining to
delivering the business requirements, working with various
stakeholders within Couture AI and customers.
• Create feedback loops to generate the product roadmaps.
• Formulate the appropriate predictive, analytic, ML or Deep
learning solutions leveraging Couture AI Platform.
• Carry out a cost benefit comparison of various solutions, not
only driven by analytical rigor of the solutions, but also the
pragmatic aspects of deployment, data and adoption cost.
• Work with platform and tech teams to implement the
solutions.
• Drive adoption of the Couture AI Platform solutions via
demonstrating improvement in success metrics and interfacing
with business partners from other teams.
• Building business cases and models to quantify new
opportunities, using data and solid business judgment.

Behavior Labs team:

The Behavior Labs team sits at the centre of the company and curates the Mia coach, that produces the content and insights to bring about behavior change. It pushes out to enterprise users, insights about expected performance behavior during a business period. It enables enterprises to influence the behaviors of sales personnel from encouraging early starts to push for lightning finishes. It guides enterprises on how to monitor and manage the behavioural journey that would lead to positive outcomes. Thousands of sales and customer service personnel across the globe are influenced and nudged towards behavior change that results in better performance outcomes.

 

The behavior lab has two key tasks – use the latest thinking in the space of BE and employee performance to enable specific user groups performance and developing a holistic understanding of the user and mining those insights to consistently fine tune the product. This team contributes towards the development of the digital design interface through which users view the nudge. The team also prepares behavioral analytics decks for clients on a regular basis.

 

We are looking for a new age candidate for the position of a Behavioral Researcher to work in an environment that is in the frontier of using human behavioural understanding and technology to influence behavior change amongst enterprise workers.

 

 

Key responsibilities will include:

• Generating insights about behavior from a range of data sources; developing testable propositions
• Conducting original research (e.g. small-scale experiments; feasibility studies to test interventions, qualitative research); analysing quantitative and qualitative data. Understand the trade-offs between different research methods (i.e. quant vs qual, survey vs experiment, A/B tests etc.).
• Action the use of behavioral science concepts into the development of the nudge engine. Keep a continuous watch on new developments in the BE field to adopt and apply into product design.
• Use behavioural science to create contextual information, communication ideas that can influence action amongst user groups and drive them towards a behavioural journey.
• Be intellectually curious and open to innovation but maintain objectivity to ensure that the focus remains on the scientific foundation in which the product is built.
• Good communication and influencing skills, both verbal and written, for a product development & customer facing audience. Specifically, the ability to communicate to these audiences in industry language.
• This role requires a person with curiosity and a passion for inquiry, comfort with ambiguity, and an entrepreneurial/learning mindset. Self-motivated and flexible, this person will be adept at both creative and analytical thinking.
• This is a highly collaborative role which requires the ability to work across the organisation’s product & design teams to develop appropriate ways to bridge the intention – action gap amongst users.

About Vedantu --------------------------- If you have ever dreamed about being in the driver’s seat of a revolution, THIS is the place for you. Vedantu is an Ed-Tech startup which is into Live Online Tutoring. Recently raised Series B funding of $11M Job Description We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product, sales and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data analysis methods, building and implementing models and using/creating appropriate algorithms. Desired Skills 1. Experience using statistical computer languages (R, Python,etc.) to manipulate data and draw insights from large data sets. 2. Process, cleanse, and verify the integrity of data used for analysis. 3. Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying, heterogeneous sources 4. Experience with messy real-world data -- handling missing/incomplete/inaccurate data 5. Understanding of a broad set of Algorithms and Applied Math. 6. Good at problem solving, probability and statistics and knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications. 7. Knowledge of data scraping is preferable 8. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. 9. Experience with big data tools (Hadoop, Hive, MapReduce) a plus.

1. Concept selling 2. Contacting potential clients through calls, emails and meetings 3. Lead generation, Cold calling, creating reports 4. Client Servicing / Managing 5. New client acquisitions 6. Achieving given targets for fixing client meetings 7. Capable of achieving their revenue targets 8. Creating sales reports - Weekly, Monthly and Quarterly