Company Description

Job Description

We are looking for a Data Scientist to join our growing team. You will join the Variant Planning team with a solid technical foundation, problem-solving aptitude, and a passion for contributing to a collaborative team environment. Your primary focus will be developing high-quality AI solutions that meet our business needs and technological standards.

Responsibilities will include:

• Main focus is the data science scope of the product where to contribute to the short- and long-term agenda 
• Collaborate with other products, supporting teams and business stakeholders 
• Focus on individual contribution where you work independently and collaborate closely with other roles in the product team, i.e. DA, MLE, DE, etc.
• Moderate business understanding related to scope of the product and novice business understanding in general
• You solve complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning 
• Independently work involving exploring large data sets, trying out new algorithms, feature engineering, testing and evaluating model outputs, deploying the solutions for production usage and scale up
• Formulate/reason a business problem as ML problem and suggest metrics for evaluation

Competencies:

• Deep Learning: Have solid experience in using Deep Learning in any of NLP/Computer Vision/ Time Series/Classification/Clustering/RL 
• Optimization: Knows some techniques for optimization problems
• Statistics: Can plan A/B testing and clearly explain the results of A/B testing to both technical people as well as Business Experts
• Python Programming: Comfortable in Coding, structure Project from scratch, develop unit-testing and other testing methods (integration, regression) on its own
• Proactive Research & Exploration: Ability to suggest improvements/discover bugs in the given projects based on its own initiative
• Advanced SQL Knowledge
• Adequate Cloud Knowledge for deploying/debugging ML solutions
• Comfortable in Plotting and Visualization, (using tools or code)
• Can correlate Hypothesis to Plots and draw findings
• Strong foundation in analytics, mathematical modeling, computer science.
• Solid knowledge and experience: Ability to put theoretical knowledge practical use. Need  some years of experience in practical settings. Being proactive contributor.

Qualifications

• Bachelor’s degree in Statistics, Engineering, or a related field.
• 5-6 years of experience in data science
• Proficiency in Python.
• Theoretical and applied knowledge in statistics.
• Theoretical and applied knowledge in machine learning.
• Familiarity with Agile development methodologies.
• Familiarity with production grade software development.
• Takes clear ownership of deliverables.
• Eagerness to learn.

Additional Information

This is a full-time position based in Bengaluru, India.

Apply by sending in your CV in English as soon as possible, but no later than the Date of 15th July 2024. Due to data policies, we only accept applications through career page.  

Benefits
We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP.

In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries.

Inclusion & Diversity
H&M is a part of H&M Group. At H&M Group, we’re determined to create and maintain inclusive, diverse and equitable workplaces throughout our organization. Our teams should consist of a variety of people that share and combine their knowledge, experience and ideas. Having a diverse workforce leads to a positive impact on how we address challenges, on what we perceive possible and on how we choose to relate to our colleagues and customers all over the world. Hence all diversity dimensions are taken into consideration in our recruitment process.  

We strive to have a fair and equal process and therefore kindly ask you not to attach a cover letter in your application as they often contain information that easily can trigger unintentional biases. 

Company Description
H&M is a fashion brand that offers the latest styles and inspiration, from fashion pieces and unique designer collaborations to affordable wardrobe essentials. Our business idea is fashion & quality at the best price in a sustainable way.  Learn more about H&M here.