Description
TITLE: Senior 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 technical role in architecting data science solutions working with senior
team members & business stakeholders to deliver outstanding business outcomes for problems across
VS&Co:
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.
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.
RESPONSIBILITIES
develop required business solutions.
algorithms and software needed to perform analysis. Mine multiple data sets through clustering
& capture thematic trends.
stakeholders.
VS&Co provides a range of compensation for this role as shown. Your actual salary will be determined by a number of factors, including: your specific skills and experience, geographic region, or other relevant factors.
Qualifications
EDUCATION
quantitative social sciences or related fields will be preferred.
SKILLS / EXPERIENCE
proficiency in R, Python, SQL.
analytical concepts & solutions to business stakeholders in a simplified comprehensible manner.
negotiations.
science
search/ranking, recommendations, forecasting, marketing, loyalty, etc.
methodologies, distributed systems and applied Machine Learning.
PERSONAL CHARACTERISTICS
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
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.
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
ADDITIONAL QUALIFICATIONS
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 Lifecycle
Read Full Description