Jayashree is a seasoned data scientist with close to 10 years of industry experience currently working as a Sr Business Intelligence Engineer for Amazon.
Over the course of her professional journey, she has cultivated a deep expertise in data analytics, blending data-driven insights with strategic acumen to drive business growth. Her experience began with a robust foundation in data analysis, where she honed skills in statistical modelling and predictive analytics. She works on solving multiple ambiguous business problems by leveraging advanced analytics tools to dissect consumer behaviour, optimize inventory management, and enhance customer segmentation. In her current role, she is involved in translating complex data sets into actionable strategies that improve sales performance and thereby democratizing data to the broader organization.
In addition to her professional endeavours, Jayashree is actively involved in exploring diverse topics ranging from general equality to social justice, finding inspiration for her work in unexpected places. As an advocate for diversity and inclusion in STEM fields, she is also an Ambassador at Women in Data Science (WiDS) for 2024, key member of Women in Big Data organisation’s Online chapter and published her articles on the need for diversity in data science in Society of Women Engineers (SWE) – All Together blog. She is consistently striving to push the boundaries of data science and contributing to meaningful projects that have a positive impact on businesses and society as a whole.
How did you land your current role? Was it planned?
When I started out, I always envisioned myself in the field of Data Science. Working with data and deriving insights fascinates me and I focused on developing the required analytical skills while working on my business acumen, and that really set the foundation. As I gained experience, I started to realize that being part of an organisation like Amazon would allow me to make a greater impact. I took on projects that expanded my skills in various domains of data science, and each one brought me closer to realizing that this role was where I could bring the most value. This role wasn’t part of a strict plan, but rather a result of being open to new challenges. Looking back, I’ve learned that staying adaptable and open to unexpected paths has been essential. Every step, even the unplanned ones, brought valuable lessons that led me to this role.
What are the key roles in your field of work, and why did you choose your current expertise?
I have been with Amazon for little over 3 years now and I’m part of Amazon Grocery Logistics organisation. My work focuses on optimizing supply chain efficiencies, improving inventory management, and delivering personalized shopping experiences. By harnessing data-driven insights, I work on high-impact projects that can help reduce waste and improve resource allocation, ultimately driving down costs for consumers. The dynamics of the grocery sector in general is very fast paced and each product that you see in an aisle in a grocery store or online storefront, has a purpose and working backwards to improve customer experience and overall customer satisfaction is the most rewarding part. I work with internal and external stakeholders to help build analytical solutions/tools, forecasting models, products promotions analysis and demand planning.
Did you (or do you) have a role model in tech or business in general?
As part of my volunteer work and collaborations with Women in Big Data, I got acquainted with Dr. Jody Porazzo, a pioneer with 40 years of experience in the field of data science. In an era where we are using machine learning models and building RAG frameworks using LLMs, her work involved in creating these frameworks and models. She is currently serving as the Director for Data Science and Statistics at Consumer Reports and her achievements are quite remarkable. I look up to her and hope to give back to the community as she does and inspire emerging technologists even the smallest way possible.
What are you most proud of in your career, so far?
I’m incredibly proud of how far I’ve come as a first-generation immigrant from a small town in India. I embraced every challenge as a chance to grow, setting an example for others with similar backgrounds. By persevering, I’ve been able to lead impactful projects, work alongside incredible teams, and prove that your roots don’t limit your potential—they shape your journey. I’m most proud of transforming what initially felt like a challenge into strengths that fuelled my success. This journey reminds me daily of the importance of hard work, resilience, and believing in oneself, and it motivates me to continue breaking new ground, both for myself and for others following a similar path.
Are there any specific skills or traits that you notice companies look for when you’re searching for roles in your field?
Data science is rooted in mathematics, with a particular focus on statistics and probability. Big tech firms look for candidates who can understand and interpret data patterns and apply statistical models to solve real world business problems. In most cases, real-world data is messy, so the ability to clean, transform, and mine the data is crucial. As much as the technical skills, communicating insights effectively is crucial, and companies value data scientists who can convey complex information through visuals that are easy to interpret for non-technical leadership.
Have you ever faced insecurities and anxieties during your career, and how did you overcome them?
I’m a mother of two wonderful (read as naughty) toddler boys. With a challenging professional career, competing priorities and work-life harmony, anxiety and insecurities are quite natural and bound to happen especially for women. When I re-joined work after my maternity leave, I had an intense surge of insecurities and anxiety of not knowing enough and the gap at work. Eventually I had an open line of communication with my manager, formulated a strategic ramp-up plan being mindful to not overwhelm myself, prioritized my mental health and that helped ease my anxiety as well as perform above the bar.
Entering the world of work can be daunting. Do you have any words of advice for anyone feeling overwhelmed?
Think of the early stages of your career as a learning period rather than a time to prove everything. It’s okay not to know all the answers, and there’s no pressure to get everything right on day one. Ask questions, seek feedback, and be open to new challenges. What helped me the most was to break down big tasks or career goals into smaller, manageable steps. Also start by focusing on what you can control, like learning a new skill or completing a project. Remember to ask for help when you need it. Seeking help isn’t a sign of weakness but a smart way to learn and build connections. Finally, remind yourself that every experience—whether it’s a success or a struggle—will add to your skill set and growth.
What advice would you give other women wanting to reach their career goals in technology?
I like this quote by Indra Nooyi – “The distance between number 1 and number 2 is always a constant. If you want to improve an organisation, you have to improve yourself and the organisation gets pulled up with you.” To women aiming to reach their career goals in technology, it’s essential to stay determined, learn continuously, and seek out supportive networks. The technology field, while fast-paced and sometimes challenging, offers incredible opportunities for growth and impact. One guiding principle is to believe in your capabilities and create your own path, even if it means stepping outside the comfort zone.
