Lead, Data Scientist [T500-17878]

ANSR

Bengaluru

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

Join a leading company as a Data Scientist, where you'll leverage your expertise in machine learning to develop predictive models that drive business impact. Collaborate with cross-functional teams to transform data insights into actionable strategies, enhancing operations across global markets. This role offers the opportunity to innovate and stay ahead in the fast-evolving field of data science.

Qualifications

8+ years of experience in data science with a strong focus on model development.
Deep understanding of Retail/CPG use cases such as customer segmentation and demand forecasting.

Responsibilities

Design, develop, and implement predictive models and algorithms.
Collaborate with stakeholders to align model outcomes with business objectives.
Conduct thorough data exploration and preparation for modeling.

Skills

Communication

Problem Solving

Education

Bachelor’s degree in Data Science

Master’s preferred

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Job description

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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.
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.
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).
Model performance tracking and retraining strategies using Azure ML.
Exposure to AI based solutions in areas of Search, product meta-data generation or discovery.

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.

Seniority level