Blue Yonder is hiring for a FRESHER entry level Data Scientist role in India

Position:

• Data Scientist (ML, Python, Pandas, NumPy, Keras, TensorFlow, Cloud)

• Responsible for leveraging advanced machine learning techniques to build scalable, high-performing models.

• Collaborate closely with cross-functional teams including product, sales, and engineering to deliver actionable insights.

• Engage with both platform and product teams to ensure models are effectively implemented and deployed.

• Participate actively in the full ML lifecycle, from data ingestion and processing to model evaluation and runtime monitoring.

• Help guide junior data scientists, providing mentorship and sharing technical expertise.

• Attend client meetings to communicate technical solutions and support business objectives.

Company:

• Blue Yonder, a leading AI-driven Global Supply Chain Solutions software company.

• Recognized as one of Glassdoor’s “Best Places to Work,” emphasizing employee experience and corporate culture.

• Focused on developing next-generation retail solutions using advanced AI and machine learning capabilities.

• Operates globally with diverse teams spanning engineering, product, data science, and sales.

• Committed to innovation in supply chain optimization and predictive analytics.

• Maintains a strong focus on ethical AI, inclusivity, and providing a supportive work environment for employees.

Location:

• Bangalore, Karnātaka, 560 103, India

• Situated in one of India’s premier tech hubs, offering access to a vibrant community of data and AI professionals.

• Bangalore is home to leading technology companies, startup ecosystems, and research centers.

• Offers opportunities for networking, professional development, and collaboration with top talent in the AI and analytics domain.

• Provides exposure to global projects and client interactions, enhancing career growth and experience.

• Supported by modern infrastructure, coworking spaces, and a range of tech events and conferences.

Job type:

• Full-time position, providing long-term career growth and stability.

• Opportunity to work in a structured environment with defined roles and responsibilities.

• Involves active participation in product development and machine learning projects.

• Employees benefit from comprehensive professional development programs and hands-on training.

• Includes collaboration with cross-functional teams across geographies, offering exposure to international best practices.

Job mode:

• Onsite in Bangalore, with occasional client meetings online or at client locations.

• Hands-on engagement with engineering and product teams for model development and deployment.

• Requires direct interaction with platform, sales, and product teams to ensure alignment with business needs.

• Provides opportunities for face-to-face mentoring and guidance for junior team members.

• Involves participation in workshops, design sessions, and solution planning meetings.

Job requisition id:

• 254413

• Internal reference for HR and recruitment tracking.

• Used to manage candidate applications, interview scheduling, and follow-up communications.

• Connects the role to Blue Yonder’s global HR systems for efficient processing.

• Helps candidates track application status and follow up on recruitment queries.

Years of experience:

• Freshers to early-career professionals are encouraged to apply (0-3 years)

• Ideal candidates have foundational knowledge of data science, Python programming, and machine learning frameworks.

• Experience with cloud platforms, large-scale data processing, and model deployment is advantageous but not mandatory for entry-level applicants.

• Mentoring experience or collaborative project work is a plus for demonstrating teamwork and leadership potential.

Company description:

• Blue Yonder is a global technology company specializing in AI-driven supply chain solutions.

• Focuses on delivering predictive and prescriptive analytics for retail, logistics, and manufacturing industries.

• Known for its innovative approach, combining data science, AI, and machine learning to solve complex business problems.

• Recognized for a supportive culture that values diversity, inclusivity, and employee development.

• Operates with a vision to optimize end-to-end planning, inventory management, and demand forecasting.

• Employs modern technologies, including cloud computing, microservices architecture, and advanced ML frameworks.

• Collaborates closely with clients to design solutions that drive measurable business outcomes.

• Encourages employees to take initiative, experiment with new ideas, and develop impactful solutions.

• Offers a dynamic work environment, career growth opportunities, and exposure to cutting-edge AI technologies.

• Committed to sustainable practices and responsible technology deployment.

• Supports continuous learning through workshops, training programs, and access to global resources.

• Maintains partnerships with leading technology vendors and research organizations.

• Actively invests in AI and machine learning research to stay ahead of industry trends.

• Strives to create a workplace where employees feel valued, supported, and motivated to innovate.

• Encourages open communication, collaboration, and knowledge sharing across teams.

• Values ethics, transparency, and accountability in business practices.

• Provides benefits focused on employee well-being, including health, financial, and professional growth support.

• Promotes community engagement, volunteering, and initiatives that positively impact society.

• Maintains a global presence while fostering a local work culture for its employees.

• Recognized in industry awards for innovation, employee satisfaction, and technology excellence.

• Constantly evolving to meet changing market demands and client expectations.

Profile overview:

• The role focuses on leveraging machine learning and data science to solve complex business challenges.

• Candidates will work on large-scale data from millions of retail items and generate billions of predictions daily.

• Will be responsible for implementing, evaluating, and deploying ML models within a collaborative engineering environment.

• Must collaborate with product, sales, and engineering teams to shape solutions and align with business objectives.

• Requires hands-on experience with Python, data structures, and relevant ML frameworks like TensorFlow, Keras, and PyTorch.

• Familiarity with cloud platforms such as Azure or GCP is desirable.

• Involves feature engineering, data cleansing, model selection, and runtime monitoring to ensure stable performance.

• Candidates will be expected to generate insights from data, formulate hypotheses, and test solutions iteratively.

• Should possess the ability to mentor junior team members and guide them through technical challenges.

• Engagement includes attending client meetings to discuss functionality, performance, and implementation strategy.

• Exposure to Big Data tools like Apache Spark, Beam, Flink, and Snowflake enhances effectiveness in handling large datasets.

• Opportunity to contribute to designing scalable, resilient, and reactive microservices architectures.

• Emphasis on ethical AI, best coding practices, and adherence to software development processes.

• Expected to participate in knowledge sharing, technical discussions, and improving internal processes.

• The role is ideal for individuals passionate about AI, machine learning, and transforming data into actionable business insights.

• Encourages continuous learning, experimentation, and application of the latest industry methodologies.

• Strong analytical, problem-solving, and communication skills are essential for success.

• Candidates will gain exposure to both strategic and operational aspects of AI-driven product development.

• Ideal profile combines technical expertise, business understanding, and collaborative mindset.

• Provides a platform to influence product design and delivery through data-driven recommendations.

• Engaging work environment encourages creativity, innovation, and practical application of theoretical knowledge.

Qualifications:

• Bachelor’s degree in Computer Science or related fields is required; graduate degrees are preferred.

• Solid foundation in data science concepts, deep learning, and statistical modeling.

• Proficiency in Python programming and understanding of data structures is essential.

• Hands-on experience with libraries and frameworks such as Pandas, NumPy, TensorFlow, Keras, PyTorch, and Jupyter notebooks.

• Knowledge of SQL and other database query languages for data extraction and manipulation.

• Familiarity with Big Data technologies including Snowflake, Apache Beam, Spark, Flink, and Databricks.

• Experience working with cloud platforms like Azure or Google Cloud Platform.

• Understanding of software development practices and tools, including Git, Jenkins, Docker, and Jira.

• Exposure to deep learning areas such as NLP, reinforcement learning, and combinatorial optimization.

• Ability to implement machine learning models independently or in collaboration with team members.

• Experience in data preprocessing, feature selection, model evaluation, and deployment monitoring.

• Skills in building scalable, secure, and resilient software architectures for ML applications.

• Experience mentoring junior data scientists and contributing to knowledge sharing initiatives.

• Understanding of message brokers and databases like Kafka, Redis, and Cassandra is beneficial.

• Strong problem-solving skills and ability to translate data insights into actionable business outcomes.

• Knowledge of model evaluation metrics, A/B testing, and statistical validation techniques.

• Ability to communicate technical concepts to non-technical stakeholders effectively.

• Understanding of cloud-native application design and deployment patterns.

• Commitment to staying updated with emerging technologies and machine learning research.

• Strong teamwork, collaboration, and interpersonal skills to thrive in a cross-functional environment.

Additional info:

• Blue Yonder values a collaborative culture, focusing on community building within and outside the organization.

• Supports employee well-being with benefits addressing health, financial security, and career growth.

• Committed to diversity, inclusion, and valuing individual experiences that shape perspectives.

• Encourages employee engagement through volunteering, community programs, and skill development initiatives.

• Operates with core values emphasizing ethics, transparency, accountability, and customer success.

• Promotes professional development with workshops, training, and global learning resources.

• Offers a dynamic, fast-paced environment with exposure to cutting-edge AI and ML technologies.

• Maintains open communication channels across teams for knowledge sharing and collaboration.

• Provides opportunities for attending client meetings, contributing to solution planning, and shaping products.

• Engages employees in decision-making, innovation, and problem-solving activities.

• Actively invests in AI research to maintain technological leadership in supply chain solutions.

• Recognized for its workplace culture, employee satisfaction, and innovation initiatives.

• Provides mentorship opportunities to junior team members and encourages peer learning.

• Supports sustainable practices and responsible technology deployment across operations.

• Emphasizes practical application of theoretical knowledge for business impact.

• Maintains flexible, supportive policies to foster work-life balance and employee growth.

• Encourages experimentation, continuous improvement, and adoption of best practices.

• Employees gain exposure to global projects, international clients, and scalable solutions.

• Offers opportunities to collaborate with interdisciplinary teams to design end-to-end AI solutions.

• Committed to creating a workplace where employees feel motivated, valued, and empowered to innovate.

• Reinforces a culture of learning, accountability, and delivering measurable results for clients.

Please click here to apply.