Senior Data Scientist

5 months ago

Bengaluru, India Victoria's Secret Full time
Description

JOB DESCRIPTION
TITLE: Senior/ Lead Data Scientist
DEPARTMENT: Data Sciences & Analytics
LOCATION: Bangalore, India

TEAM:
The Enterprise Data Sciences & Analytics is an upstart CoE team, incubated within Victoria’ Secret & CO. 
(VS&Co), building the best-in-class suite of Data Science & Analytics Products that power the best 
shopping experience for our customers, and deliver actionable, customer-centric insights to our 
ecommerce, marketing, merchandising and supply chain teams enabling better business decisions on 
omni channel (digital + store) 360 performances.

PURPOSE :
The senior data scientist will play a lead technical role in architecting data science solutions working with 
senior team members & business stakeholders to deliver outstanding business outcomes for problems 
across VS&Co:

• You will be developing and productizing machine learning models on:
1. customer segmentations & propensity models,
2. A/B testing, measurement frameworks & Causal modelling,
3. NLP, LLMs & embeddings, GenAI chat-bots,
4. time-series forecasting & anomaly detection,
5. optimization and recommendation systems.
• You have a deep interest and passion for technology. You love writing and owning codes and 
enjoy working with people who will keep challenging you at every stage. You have strong 
problem solving, analytic, decision-making, and excellent communication with interpersonal 
skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven 
agile environment with varied responsibilities.
• You will work directly on the AI problems that have the most impact on VS&Co’s digital ecommerce, omni-channel, entire supply chain, forecasting and merchandising.

RESPONSIBILITIES
• Deliver data science CoE projects from India.
• Design the development of solutions that leverage data sciences & advanced analytics to 
develop required business solutions. 
• Collaborate and implement the overall data science strategy. Evaluate, recommend, & 
implement state-of-the art algorithms and methods.
• Analyze and model structured data using advanced statistical methods and implement 
algorithms and software needed to perform analysis. Knowledge of MLOps practices.
• Engage & collaborate with business & technology partners. Communicate progress to all 
stakeholders.

Qualifications

EDUCATION
• . degree in Computer Science, Mathematics, Statistics
• . or . in Computer Science, applied mathematics, statistics, physics, operations research, 
quantitative social sciences or related fields will be preferred.

SKILLS / EXPERIENCE
• 6+ years of relevant experience in data scientist & analytics role preferably in retail domain. 
• Strong understanding of computer technology with strong programming skills. Expert level 
proficiency in R, Python, SQL.
• Strong written & verbal communication skills. Ability to communicate complicated statistical 
analytical concepts & solutions to business stakeholders in a simplified comprehensible manner.
• Excellent presentation skills & ability to shape course of action through persuasion & 
negotiations.
• Collaborate actively with topic owners to understand and develop advanced analytics / data 
science
• Experience designing algorithms for a relevance system such as a personalized tool, 
search/ranking, recommendations, forecasting, marketing, loyalty, etc.
• Strong engineering mindset and exposure to software engineering principles, Agile 
methodologies, distributed systems and applied Machine Learning.
PERSONAL CHARACTERISTICS
• We love open source Many of our team members contribute to open source communities and 
get to do it during work time. We try to contribute back to our communities where we can and 
are grateful to be able to open source some of our own projects
1. Unique individuals that are innovators
2. Highly energized personality with a positive attitude and ability to work with minimal 
supervision, prioritize, multi task and work under tight timelines
• Intellectually curious
1. Is able to identify and present obscure data that is unique and useful
2. Genuinely interested in data and how data can drive returns
3. Stays current with business results, strategies, industry standards and best practices 
especially in the field of data sciences & machine learning
• Professional demeanor
1. Able to present, communicate, and is approachable by business executives.
2. Has self-reliance and uses good common sense. 
3. Able to build strong relationships and build out network with peers and data providers.
4. Organized and able to present ideas.
5. Strong Work Ethic. Assertive yet willing to work within a team and take on any task.
• We value diversity. We believe that diversity and inclusion is of core importance when try to 
create positive in-store experiences for our guests, and we think it is also critically important 
when building our teams. Read more about our commitment to diversity and inclusion.
MANDATORY SKILLS
• Machine Learning, Python, Big Data Skills, R, Statistics
• Solid experience working with state-of-the-art supervised and unsupervised machine learning 
algorithms on real-world problems, preferably in ecommerce and retail domains.
• Strong ability to understand the business and good stakeholder management capabilities and 
has mentored data scientists in developing ML solutions.
• Experience playing the role of full-stack data scientist and taking solutions to production.

ADDITIONAL QUALIFICATIONS

• Good to have strong experience in one or two of the below areas:
I. customer analytics, market-mix models, cross-selling/upselling models, 
II. LLMs, NLP systems, chat-bots
III. causal models, measurement frameworks, A/B testing
IV. pricing and recommendation systems
V. ML engineering, MLOps practices, experience designing algorithms at scale and end-toend model-development Lifecycles

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