Job Description:
As an Analyst – Decision Science at Jumbotail you will –
~Collaborate with the business and the product teams and aid them to take data driven decisions
~Generate pricing insights by performing pricing analysis and build pricing models, and devising merchandising...
...Bangalore, Chennai & Hyderabad ( Work from Office 3 days a week)
Notice period: immediate
~4 years of Experience working on Pega SM (Decision Managemen t )
~ Pega Decisioning is Mandatory
~ Design and develop decisioning Strategies.
~ Manage Proposition/Offer matrix....
...to deliver data products, such as dashboards
Job Title:
Decision Scientist
Position Type:
FTE
Location:
Hyderabad (... ...the Team:
· 6+ years of experience in data analytics or data science
· You are proficient in common analytical programming languages...
...implementation of advanced analytical models and algorithms to support decision-making processes. Utilize statistical analysis and machine... .... Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential...
...Job Title: Decision Analyst
Location: Noida
About Barclays
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the...
...needs)
Mentor junior associates
ABOUT AXTRIA:
Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve...
Eligibility Criteria:
BTECH, MBA, Post Graduate in Pharma, Statistics, Economics, with a minimum of 4 years of relevant analytics experience
Epi based Forecasting for Inline, Pipeline and BD&L Products/ Brands
Understanding disease and Therapy Area and its application...
...Job Description Job Description
The Pega Senior Decision Architect (SDA) supports our Decisioning practice as a Pega Capability Decision Logic Project Shepherd. You will partner closely with Marketing Strategy, Business Intelligence, and GTS to find optimization opportunities...
The Role :The purpose of this role is to provide Pega decisioning expertise to existing and potential clients, as well as to develop and deliver a variety of Pega projects involving the full Pega suite of technologies. This often involves exposure to cutting edge implementations...
...CFOs. Our platform delivers Advanced Reporting, Business Insights and Predictive Analytics for Auto Dealers, helping them make better decisions that have positive impact on their business.We are part of a diversified automotive solutions company with offices around the world...
...teams and influence stakeholders at all levels. - Analytical mindset with the ability to interpret data and insights to drive informed decision-making. - Experience with marketing automation platforms, CRM systems, and digital marketing tools preferred. - Self-motivated and...
...and artificial intelligence that enables us to make more informed decisions in every dimension. We develop tools for financial forecasting,... ...thinking, engineering skills, statistical techniques, and data science practices - such as experimentation, forecasting, clustering, etc...
Who are we?We are a global Analytics and Big Data solutions provider, working with a broad mix of multinational companies in CPG, Retail, Industrial, Automobile, Electronics, Healthcare, and more. We are not just your usual data analytics firm we like to think of ourselves as...
...expertise, true partnership and e2e implementation approach.For details refer to: About the Job:.Join our technology-driven team as a Decision Architect to delve into the complexities of NBA requirements and enhance your subject matter expertise in Pega CDH from a tech...
...teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the...
...Electronics and Communication / Electronics & Instrumentation/Computer Science/Information Science
Minimum 6 to maximum of 12 years’... ...team activities and facilitates information validation and team decision making process.
Complexity
• Responds to moderately complex...
...Chennai, Bangalore, Jaipur, Gurugram, Hyderabad
Skills: Data Science, Machine Learning, Python, SQL, AWS/Azure, Docker, Generative AI... ...data-driven solutions to optimize business processes and enhance decision-making.
Deploy machine learning models into production...
...Analytics powered by our expertise, true partnership and e2e implementation approach.For details refer to : About the Job: As a Senior Decision Architect, your role will focus on the strategic implementation and management of end-to-end (E2E) Pega CDH architecture. With your...
JOB DESCRIPTION
Job Title
Data Science
Job Description
Job Description Summary
As a Data Strategist/Data Scientist at... ...you will identify opportunities to leverage data for strategic decision-making and operational improvements. Your responsibilities will...
...farming practices and empower farmers, researchers, and enthusiasts in making informed decisions.
Role Description
This is a full-time on-site role for an Agronomist | Soil Science at Ekosight Technologies Private Limited located in New Delhi. As an Agronomist, you...
...recognized within the entire organization.
Behavioral Competencies
Domain Knowledge
Collaborative working
Problem solving and decision making
Attention to Detail
Execution Excellence
Stakeholder Management
Client (Internal) Centricity
Effective...
...functional teams to solve critical business problems -Understand life science data sources including preclinical, clinical, sales, contracting... ...trends.
Skills:
Applied Mathematics.
Information & Decision Theories.
Data Visualisation.
Big Data.
Machine...
...leverages cutting-edge technology and data-driven insights to help businesses make informed decisions and drive growth.
Role Description
This is a full-time role for a Data Science Lead. As a Data Science Lead, you will be responsible for leading the data science team,...
...new algorithms to address structured/unstructured Retail Analytics problems, and improve existing algorithms to achieve data-driven decision making
• Lead the development/enhancement of scalable, advanced models for new and existing solutions; and validate and optimize models...
...Data Science Advisor
Position Overview:
The Data Platform and Analytics engineering (DPaAS) team in the Finance Technology group... ...build ML model and algorithms to derive business value and enable decision making. Some of the skills required would include strong technical...
...consumer behavior and make informed media, promotions, and pricing decisions. Kvantum serves mainly internal brands around the globe (Taco... ...in your new job:
Manage the engagement across Kvantum’s data science, marketing science and product development teams around data mobilization...
...Associate Professors and Professors in the School of Computer Science.
Mentioned below the roles and responsibilities.
1.... ...departmental committees, providing input on curriculum development, hiring decisions, and academic policy.
Contribute to the growth and...
...candidate should have a minimum of three years of experience in data science and a strong background in statistics, machine learning, and... ...and statistical models to solve business problems and improve decision-making processes.
Data Pre-processing: Prepare and clean data...
...together.
Business Unit and Role Information
NLP/GenAI data science team seeks a Director of Data Science to focus on NLP (Natural... ...NLP/GenAI data science team serve as key members of the Global Decision Science organization within Credit and Fraud Risk at American Express...
...points and ensuring that links take the user to the right place on the website or native app.Job Description:Responsibilities :- Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.-...