Levi Strauss is hiring for a fresher entry level Data Scientist I role in India

Position:

• Data Scientist I

Company:

• Levi Strauss & Co.

Location:

• India, Bangalore - Office

Job type:

• Full-time

Job mode:

• On-site

Job requisition id:

• R-0120372

Years of experience:

• 0-3 years
  

Company Description:

Levi Strauss & Co. (LS&Co.) is a global leader in the apparel industry, recognized for its iconic denim products and progressive work environment. Headquartered in San Francisco, LS&Co. operates in more than 110 countries, designing and selling products under renowned brands like Levi's®, Dockers®, Signature by Levi Strauss & Co.™, and Denizen®. The company embraces innovation and sustainability, striving to lead in both fashion and technology. LS&Co. values diversity and inclusivity, offering a dynamic workplace where creativity, collaboration, and community flourish. With a deep commitment to ethical business practices, LS&Co. is also focused on minimizing its environmental impact and supporting global initiatives for social good. As a pioneer in retail, LS&Co. fosters a forward-thinking culture that encourages employees to bring their best selves to work every day.

Profile Overview:

As a Data Scientist I at Levi Strauss & Co., your role will involve developing and deploying advanced data analytics models that solve real-world business challenges. You will work closely with internal teams to create data-driven insights that shape strategic decisions, improving operational efficiency and customer experiences. You will leverage cutting-edge technologies such as machine learning and artificial intelligence to deliver impactful solutions using both structured and unstructured data from a wide range of sources. In this role, you will collaborate with cross-functional teams, including technical experts and business stakeholders, to drive innovation and enhance the company’s analytics capabilities. A strong focus on teamwork, communication, and business understanding is essential for success. The role demands a proactive approach to problem-solving, a keen interest in continuous learning, and a passion for driving data-based innovation.

Duties and Responsibilities:

Developing Analytical Solutions:

• Create and implement analytical solutions and production-ready models.
• Address real business challenges by considering both business needs and the current technology landscape.
• Develop models that drive business value by leveraging internal and external data sets.

Applying Advanced Analytics:

• Use advanced analytics techniques, such as machine learning and artificial intelligence, to extract business value from various data sources.
• Employ cloud-based "Big Data" technologies to process and analyze large datasets.
• Continuously innovate and experiment with new algorithms and data processing techniques to optimize business outcomes.

Translating Data into Insights:

• Translate complex datasets and methodologies into actionable insights and recommendations.
• Ensure that insights are operationally feasible and aligned with the company’s strategic goals.
• Communicate data findings in a clear and concise manner to both technical and non-technical audiences, ensuring alignment and understanding.

Communication and Collaboration:

• Present data insights both verbally and visually, ensuring that the information is accessible and engaging to all stakeholders.
• Foster collaboration with technical and non-technical teams to gain buy-in on data-driven solutions.
• Work cross-functionally to build understanding, engagement, and consensus around data insights and initiatives.

Innovation and Trend Analysis:

• Identify emerging trends and opportunities for innovation within the data science domain.
• Explore new technologies, methods, and processes to enhance how data is used across the organization.
• Lead initiatives to refine and improve current data practices, focusing on efficiency and effectiveness.

Documentation and Knowledge Sharing:

• Document all code and methodologies used in data projects to ensure reproducibility and future reference.
• Actively contribute to the company’s data science community by sharing best practices and re-using proven techniques.
• Engage in continuous learning and knowledge exchange to stay current with the latest advancements in data science.

Team Collaboration and Culture:

• Work as a proactive and empathetic team player, embodying Levi Strauss & Co.’s core values.
• Foster a collaborative environment where diverse ideas and perspectives are encouraged and valued.
• Engage with colleagues across different departments and backgrounds to drive collective success.

Qualifications:

Required Skills and Education:

• Advanced Degree:

  • An Advanced degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or a related discipline is required.

• Experience:

  • Proven experience in building models and developing algorithms.
  • A track record of leveraging data science to create meaningful business impacts.

• Programming Expertise:

  • Strong proficiency in SQL and Python is essential.
  • Knowledge of additional programming languages such as R, Java, C++, or other open-source languages is a plus.

• Statistical Modeling Expertise:

  • Expertise in multivariate statistical modeling techniques such as clustering, regression analysis, principal components analysis (PCA), and time-series forecasting.
  • Experience with machine learning algorithms such as Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), boosting, and bagging.

• Cloud Computing:

  • Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or equivalent on-premise platforms.
  • Understanding of cloud-based data processing and storage technologies to efficiently handle large datasets.

• Project Management:

  • Ability to coordinate multiple deliverables, tasks, and dependencies across different stakeholders and business units simultaneously.

Desirable Skills:

• Deep Learning:

  • Familiarity with neural networks and deep learning frameworks such as TensorFlow is highly desirable.

• Data Visualization:

  • Experience using data visualization tools like D3.js, Tableau, R Shiny, or Looker is a plus.

• Big Data Processing:

  • Proficiency in data processing frameworks such as Spark or MapReduce is a valuable asset.

• Agile Methodology:

  • Experience working in an agile development environment, with a focus on continuous improvement and rapid iteration.

• Industry Experience:

  • Prior experience in retail or the FMCG (Fast-Moving Consumer Goods) sector is advantageous, especially in leveraging data to drive business performance.

Additional Info:

Employee Expectations:

• Levi Strauss & Co. values a culture of innovation, collaboration, and respect. Employees are expected to uphold the company’s values in all their interactions.
• As part of the data science team, you will be expected to stay current on emerging trends in data analytics and AI.
• The role requires a high degree of adaptability, as new challenges and projects will arise regularly.

Benefits:

• Comprehensive Health Coverage: LS&Co. offers a competitive benefits package that includes health insurance for employees and their families.
• Learning and Development: Employees have access to various learning opportunities, including training programs, workshops, and conferences related to data science and analytics.
• Work-Life Balance: The company promotes a healthy work-life balance, providing flexible work schedules when possible to accommodate personal needs.
• Career Growth: Levi Strauss & Co. is committed to supporting the career development of its employees, offering mentorship, career coaching, and leadership programs.

Diversity and Inclusion:

• LS&Co. is an equal opportunity employer and prides itself on fostering an inclusive environment where everyone can thrive. The company is committed to building a workforce that reflects the diversity of the communities it serves.
• Employees are encouraged to participate in the company’s diversity initiatives, which include employee resource groups, mentorship programs, and community outreach.

Application Process:

• Candidates should apply through the Levi Strauss & Co. careers portal or, for current employees, via their Workday account.
• The recruitment process typically involves multiple stages, including an initial screening, technical assessments, and interviews with key stakeholders.
• Applicants are encouraged to showcase their ability to solve complex problems, communicate insights effectively, and demonstrate their passion for leveraging data to drive business success.

Please click here to apply.

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