Lead Machine Learning Scientist

SO, WHAT'S THE STORY? As our Data Scientist extraordinaire, you'll be wielding the mighty powers of numbers and machine learning like a superhero! Your mission? To craft mind-blowing predictive models and algorithms that will conquer complex business challenges and leave a global footprint of awesome impact.

You'll be joining forces with a league of extraordinary cross-functional minds, sniffing out opportunities to unleash the power of data, conjuring up brilliant analytical solutions, and translating those "aha!" moments into real-world actions. As part of our dynamic, two-shift Data Science squad, you'll be the go-to guru for our teams across the Americas, EMEA, and APAC, laser-focused on delivering tangible business gold. Get ready to continuously level up our models, making decisions smarter and operations smoother it's all about that real business magic!

THE GIG

Model Development : Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks.

Business Impact : Collaborate with stakeholders to understand business objectives, identify key metrics, and ensure model outcomes align with strategic goals and drives measurable impact.

Data Analysis : Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy.

Collaboration : Work with cross-functional teams, including engineering, product management, and business teams, to integrate models into production systems and monitor performance.

Communication : Present findings to technical and non-technical audiences, providing actionable insights and recommendations to drive business strategy.

Innovation : Stay up to date with the latest trends and advancements in data science and machine learning to continuously enhance modeling practices and methodologies.

THE STUFF THAT SETS YOU APART

Required Experience and Skills Our Must haves

• Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field;

master’s preferred.

6-8 years of experience in data science with a strong focus on model development and algorithm design in the retail domain such as Fashion or CPG.

Experience of building Machine Learning & Deep Learning solutions in large production scale environment.

Strong communication and requirement gathering skills from business and product teams is a must with capability of understanding complex business problems and designing right ML solutions.

Must have deep understanding of at-least couple of Retail / CPG use cases such as customer segmentation, recommendations, demand forecasting, sentiment analysis, inventory optimization, promotion uplift modeling, campaign analysis, churn prediction etc.

Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.G., Pandas, NumPy).

Expertise in machine learning frameworks (e.G., TensorFlow, PyTorch, Scikit-learn) and statistical analysis.

Nice to have -

Time series models (Prophet, XGBoost, LSTM for Azure ML).

Experience working with GenAI models

Core Competencies

Strong problem-solving skills with a proactive approach to optimisation.

Excellent communication skills and ability to collaborate across global teams and time zones.

Experience in designing and implementing Data Science best practices and frameworks.

CORE VALUES

BE YOURSELF : Drive innovation through creative problem-solving.

ACT COURAGEOUSLY : Build scalable, future-proof ML infrastructure.

SHOW YOU CARE : Ensure models are reliable, efficient, and delivering real business impact.

At DM your technical capability will go hand in hand with the below :

Great relationship management that delivers results through effective teamwork

You’ll be a proud custodian to our DM’s culture, embodying what we stand for and encouraging others to do the same

You’ll help build a highly engaged team – ensuring a collaborative culture and providing guidance & support to other team members

You will take ownership for your own development, proactively seeking out feedback to build self-awareness

you’ll share best practice across the team / business and encourage ideas sharing as well as collaborative problem solving

You’ll lead the way and role model on all things DE&I & wellbeing