process r&d scientist

pricing scientist

Advance Auto Parts

<div>
 
 Job Description
 
 
 
 
 Pricing Scientist
 
 
 
 
 About Advance Auto Parts
 
 
 
 Founded in Roanoke, VA in 1932, Advance Auto Parts is a leading automotive aftermarket retail parts provider that serves both professional installer and do-it-yourself Customers. As of July 13, 2019, Advance operated 4,912 stores and 150 Worldpac branches in the United States, Canada, Puerto Rico, and the U.S. Virgin Islands. The Company also serves 1,250 independently owned CARQUEST branded stores across these locations in addition to Mexico, the Bahamas, Turks, and Caicos and the British Virgin Islands. The company has a workforce of over 70,000 knowledgeable and experienced Team Members who are proud to provide outstanding service to their Customers, Communities, and each other every day.
 
 
 
 About Aap Global Capability Center
 
 
 
 We are continually innovating and seeking to elevate the Customer experience at each of our stores. For an organization of our size and reach, today, it has become more critical than ever, to identify synergies and build shared capabilities. The AAP Global Capability Center, located in Hyderabad, is a step in this strategic direction that enables us to access a larger talent pool, unlock operational efficiencies and increase levels of collaboration.
 
 
 
 About Pricing Team
 
 
 
 The Pricing team is growing its presence in India to help expand our technical, brand, and analytical capabilities across the enterprise. This is a fantastic opportunity to join a team of highly specialized and focused individuals dedicated to driving our brand marketing and eCommerce outcomes in a collaborative environment.
 
 
 Join the Pricing team and start reimagining the future of automotive retail. Disrupt the way consumers buy Auto Parts and join a fast-growing eCommerce team to take on the industry&rsquo;s biggest challenges.
 
 
 The focus here is on our customers -- how we make them happy, earn their trust, and create loyalty. We want to expand our best in class data science capability to predict consumer behavior and ensure we are getting the right return on our investments. Ultimately, the Pricing team is responsible for rapidly developing and deploying solutions that will drive the customer experience and, ultimately, enhance our bottom line as an organization.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
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 Independently develop Analytics solutions / predictive model for pricing and promotions e.g. promotions forecasting, price elasticity models, customer segmentation, discount optimization.
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 Perform statistical analysis for hypothesis testing e.g. A/B testing to predict the impact of pricing changes on test skus/regions.
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 Collaborate with the pricing strategy and insights team to conceptualize and develop the prototype of analytics solutions and partner with Enterprise Data Engineering / Data science teams to scale up and deploy the solutions for enabling optimized pricing decisions
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 Involve in discussions with stakeholders and gather requirements showcasing the analysis, interpretations &amp; findings and scale the solutions to next level
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 Bring in the thought process and independently involve in designing the approach, test and build the algorithm framework, and implement models
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 Forecasting of demand drivers using Structural Time Series and Na&iuml;ve Bayes approach and also by analyzing the impact of micro-economics factors on category/region performance
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 Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information for promotional strategies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4 to 8 years of relevant experience as Sr. data scientist or pricing scientist in retail/ecom analytics in similar industry and business function.
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 Masters/PhD in management science, data science, economics, mathematics from reputed institutes is a must.
 </li>
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 Should have strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques.
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 Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes for pricing and promotions
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 Advance level proficiency in python/R, PowerBI, Snowflake/SQL and cloud technologies
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 Ability to effectively communicate and explain the analytical model approach and output with the business stakeholders
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 Experience of developing a powerful storyline to provide meaningful insights for senior leadership consumption
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 Applicants should have strong fundamental understanding and research experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Clusters Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc.
 
 
 </li>
 </ul>
 
 California Residents Click Below For Privacy Notice
 
 
 
 https://jobs.advanceautoparts.com/us/en/disclosures
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.
</div>

Pricing Scientist

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Dew Software

<div>
 
 
 Position: Data Scientist
 
 
 
 
 Duration: Full-time
 
 
 
 
 Location: Hyderabad (Onsite)
 
 
 
 
 
 
 
 Job Description:
 
 
 
 OOPs in python (Object Oriented programming concepts)
 
 
 - - Data structures /List comprehensions in Python
 
 
 - - NumPy/Pandas/Scikit basics
 
 
 - - Statistics Essentials
 
 
 - - Exploratory Data Analysis
 
 
 - - ML / DL basics, applications, differences
 
 
 Strong proficiency in Python (OOPs concepts, DSA for problem solving) and hands on SQL experience
 
 
 - - Experience with statistical analysis, data wrangling, and feature engineering on large datasets
 
 
 - - Hands-on experience building and deploying machine learning and deep learning models using frameworks like scikit-learn, TensorFlow, or PyTorch
 
 
 DSA means data structure and algorithms
 
 
 
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, or related field.
 
 
 &bull; Proficiency in Python and popular libraries (e.g., NumPy, Pandas, Scikit-learn).
 
 
 &bull; Strong understanding of statistical analysis and machine learning algorithms.
 
 
 &bull; Strong SQL skills a plus.
 
 
 &bull; Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
 
 
 &bull; Excellent problem-solving skills and ability to work independently.
 
 
 
</div>

Data Scientist

Linguistic Engineering Manager

Bristol Myers Squibb

<div>
 
 Working with Us
 
 
 
 Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
 
 
 Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
 
 
 
 Senior Manager, Clinical Scientist
 
 
 
 
 Job Title
 
 
 
 Senior Manager, Clinical Scientist
 
 
 
 Division
 
 
 
 R&amp;D / Global Drug Development
 
 
 
 Functional Area Description
 
 
 
 The Clinical Scientist function provides scientific expertise necessary to design and deliver clinical studies and programs.
 
 
 
 Position Summary / Objective
 
 
 
 <ul>
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 Will be responsible for design and execution of assigned clinical trial activities and work closely with clinical team members within the assigned project to execute activities associated with the conduct
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 May serve as Clinical Trial Lead for one or more trials
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 May lead or support trial level activities for one or more trials with the necessary supervision
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 May co-lead study team meetings in partnership with GDO protocol manager and collaborate with cross-functional study team members
 
 
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 </ul>
 
 Position Responsibilities
 
 
 
 <ul>
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 Collaborate and liaise with external partners (e.g., KOLs)
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 Seek out and enact best practices with instruction
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 Provide regular and timely updates to manager/management as requested
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 Develop Protocol and ICF documents / amendments and present these to governance committee and development team meetings as required
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 Conduct literature review
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 Submit clinical documents to TMF
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 Develop site and CRA training materials and present these at SIVs and Investigator meetings
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 Review clinical narratives
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 Monitor clinical data for specific trends
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 Develop Data Review Plan in collaboration with Data Management
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 Ensure CRF design adequately supports data collection in alignment with the protocol in collaboration with Data Management/Programming
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 Submit clinical contributions to clinical study reports (CSRs) and clinical portions of Regulatory Documents (e.g., IB, DSUR, PSUR, Orphan Annual Reports, HA, EC, IRB responses and contribute to regulatory submission.)
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 <ul>
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 Degree in Life Sciences (MD, PhD, Pharm D, MS, RN or other scientific field preferred). MD-Pharmacology preferred
 
 
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 </ul>
 
 Experience Requirements
 
 
 
 <ul>
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 Basic knowledge of GCP/ICH, drug development process, study design, statistics, clinical operations
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 Ability to understand assigned protocol(s) and their requirements
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 Basic knowledge skills to support program-specific data review and trend identification
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 Intermediate medical writing skills and medical terminology
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 Basic planning/project management skills (develop short range plans that are realistic and effective)
 
 
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 </ul>
 
 Key Competency Requirements
 
 
 
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 Detail-oriented with commitment to quality
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 Basic knowledge of disease area, compound, current clinical landscape
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 Basic knowledge of the establishment and operation of data monitoring committees, dose review teams, and independent response adjudication committees
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 Intermediate critical thinking and problem-solving skills
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 Adaptable / flexible (willing and able to adjust to multiple demands and shifting priorities; ability to meet day-to-day challenges with confidence and professionalism)
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 Intermediate skills in Microsoft Word/Excel/PowerPoint and data review tools (e.g., Pt Profiles, report generating tools)
 
 
 </li>
 </ul>
 
 Travel Required
 
 
 
 Domestic and International travel may be required.
 
 
 If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
 
 
 
 Uniquely Interesting Work, Life-changing Careers
 
 
 
 With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
 
 
 
 On-site Protocol
 
 
 
 
 Responsibilities
 
 
 
 BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
 
 
 Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
 
 
 BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
 
 
 BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
 
 
 BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
 
 
 If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
 
 
 Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
 
 
</div>

Senior manager, Clinical Scientist

PepsiCo

<div>
 
 Overview
 
 
 
 RGM strategy Playbook - Associate plays a pivotal role in our organization, with a primary focus on brand ladder and price pack architecture analysis, Mix Management and Promo Strategy. This role encompasses a range of responsibilities related to optimizing our product and pricing strategies to maximize brand equity, profitability, and consumer engagement.
 
 
 Key responsibilities of the Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate include:
 
 
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 Conducting in-depth market research and data analysis to identify and evaluate brand positioning / price pack architecture opportunities
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 Analyzing consumer behavior and preferences to gain insights into how our brand ladder / pricing strategies impact purchasing decisions
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 Developing and refining brand ladder and PPA models and methodologies to streamline decision-making / enhance operational efficiency
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 Collaborating with cross-functional teams to ensure that our brand and pricing strategies align with overarching business objectives and regulatory requirements
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 Utilizing data-driven insights to enhance the overall consumer experience and perception of our brands and pricing structures
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 Contributing to the long-term brand and pricing strategy of the organization, actively participating in the creation of innovative approaches to optimize brand equity and profitability
 
 
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 </ul>
 The Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate leverages advanced analytical skills and tools to shape our brand and pricing strategies, ensuring they are aligned with our strategic goals, compliance standards, and customer satisfaction objectives
 
 
 
 Responsibilities
 
 
 
 Functional Responsibilities
 
 
 <ul>
 <li>
 Perform advanced analytics using Tableau/Power BI and develop predictive models, regression modeling, price elasticity analysis, and promotion optimization to extract actionable insights from data
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 Collaborate on sector RGM strategic projects, such as promotions optimization, terms priorities, competitor benchmarking, and Price Pack Architecture (PPA) initiatives, to drive revenue realization
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 Conduct statistical and trend analysis to identify market opportunities, highlight sector strengths, and provide recommended corrective actions to enhance performance
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 Monitor existing KPI metrics, develop new relevant metrics, and identify correlations and root causes to support data-driven decision-making
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 Design and build visualization dashboards to accelerate information-to-action at scale, enabling easy access to critical insights for various stakeholders
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 Develop programs, methodologies, and reports for analyzing and presenting data, making data-driven insights accessible and actionable
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 Ensure the timely and accurate submission of reports and data to the Revenue Management teams in line with agreed Service Level Agreements (SLA)
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 Improve the utility of operational and performance data within various teams, supporting Business Intelligence (BI), reporting, analysis, and insights efforts
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 Assist the GBS Commercial lead in developing an ongoing training and capability plan for COE associates, ensuring continuous growth and expertise development within the team
 
 
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 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Broader data analysis capabilities. Previous experience in Consumer Insights, Key account Management, Trade Marketing or CPG consulting
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 Experience in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior
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 Proven experience working in the Fast-Moving Consumer Goods (FMCG) sector with a strong understanding of business processes related to Revenue Management, including promotions, pricing, and sales
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 Excellent visualisation skills with the ability to translate complex data into actionable solutions and processes, enabling data-driven decision-making
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 Advanced proficiency in Microsoft Excel and a strong command of PowerPoint, with the ability to quickly learn various in-house software applications for data analysis and reporting
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 Working knowledge of Power BI software is added advantage
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 Ability to function effectively in a team environment and collaborate with individuals across the organization, as pricing and promotions strategies often require cross-functional teamwork
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 Good verbal and written communication skills to effectively interact with stakeholders and present findings and recommendations in a clear and compelling manner
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 </ul>
</div>

Associate Manager

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
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 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
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 Python, R etc.
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 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
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 Good knowledge of end-to-end data science implementation including data ingestion, integration
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 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
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 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
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 Masters degree in a quantitative discipline.
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 MLOps/ DevOps
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 BI tools like Power BI
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 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
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 Ability to tailor communications to a variety of internal and external audiences.
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 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
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 Effective written and verbal communication and interpersonal skills.
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 Ability to engage with senior C-level business leaders.
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 Calm under pressure, ability to juggle multiple priorities and ambiguity.
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 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
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 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
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 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
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 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
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 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
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 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
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 </ul>
 
 
</div>

Explore 38+ Pricing scientist in Hyderabad this December. Find roles across top companies and apply now to boost your career.

38 pricing scientist jobs IN Hyderabad

Pricing Scientist

Data Scientist - GO/JC/1384/2025

Data Scientist

Linguistic Engineering Manager

Senior manager, Clinical Scientist

Associate Manager

Data Scientist