Bristlecone is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist - Data Science

Company:

• Bristlecone

Location:

• Mumbai, Maharashtra, India

Job type:

• Full Time

Job mode:

• Onsite

Job requisition id:

• 16068

Years of experience:

• Open to entry-level candidates with required skill set; 0-3 years

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Company Description

• Bristlecone is a leader in AI-powered transformation services, specializing in connected supply chain solutions.

• The organization focuses on providing agility, transparency, automation, and resilience to help businesses manage change effectively.

• They offer a wide range of services across digital logistics, cognitive manufacturing, autonomous planning, smart procurement, and supply chain digitalization.

• Their portfolio includes consulting on digital strategy, system design and build, and implementation services, supporting a wide array of technology platforms.

• Headquartered in San Jose, California, Bristlecone has an extensive presence with offices across North America, Europe, and Asia.

• They boast a team of over 2,500 highly skilled consultants working across various geographies.

• As part of the $19.4 billion Mahindra Group, Bristlecone benefits from the financial strength and industry reach of a global conglomerate.

• They are consistently recognized as a top-tier provider of supply chain services, proudly featuring in Gartner’s top ten list for supply chain solutions.

• Bristlecone is deeply committed to fostering diversity, equity, and inclusion within its workplace culture.

• The company promotes an environment where every employee is empowered to achieve professional growth while contributing meaningfully to projects with a global impact.

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Profile Overview

• The company is seeking a highly motivated and passionate Data Scientist to join their Mumbai team.

• This role is tailored for individuals who are enthusiastic about working with large datasets, creating models, and finding actionable insights.

• The selected candidate will engage in building and optimizing data pipelines, implementing data transformations, and ensuring that the organization’s analytics needs are met with efficiency and innovation.

• The position demands strong collaboration within interdisciplinary teams to troubleshoot data challenges and enhance data infrastructure.

• Candidates should be flexible, adaptable, and ready to embrace emerging technologies in the data science and data engineering ecosystem.

• In addition to technical contributions, the candidate will also be responsible for maintaining best practices around documentation and workflow management.

• A growth mindset and a willingness to dive deep into new tools, methods, and technologies will be highly valued.

• The role offers an excellent opportunity to learn from industry experts and work on transformative projects with real-world applications.

• Exposure to cloud platforms, big data tools, and visualization software will form an integral part of the daily responsibilities.

• This is a remarkable opportunity for aspiring data professionals to launch or elevate their careers in a dynamic, tech-forward organization.

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Qualifications

• Candidates must have a solid understanding of at least one programming language used for data processing, preferably Python, SQL, or Java.

• Familiarity with relational database management systems such as MySQL and PostgreSQL is essential for data handling tasks.

• A basic grasp of cloud platforms including AWS, GCP, or Azure is necessary, especially related to data storage and processing workflows.

• It is advantageous to have knowledge of big data ecosystems and tools such as Apache Spark, Hadoop, or Kafka.

• Strong analytical reasoning and problem-solving abilities are critical for handling complex datasets and optimizing workflows.

• The role requires excellent collaboration skills, as the Data Scientist will work in close coordination with cross-functional teams.

• A desire to continuously learn and adapt to the evolving landscape of data technologies and best practices is highly appreciated.

• Exposure to data visualization platforms such as Power BI, Tableau, or Looker would be considered a plus.

• Understanding how APIs function and how data integration between different systems works would enhance the candidate's profile.

• Familiarity with version control tools like Git ensures smooth collaboration and version management across teams.

• Prior experience with workflow orchestration tools like Apache Airflow can set candidates apart.

• Professional certifications in cloud computing or big data technologies are a valuable addition.

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Responsibilities

• Design and build data pipelines that enable seamless ingestion, transformation, and loading of data into storage systems like data lakes or data warehouses.

• Develop, manage, and optimize ETL processes to automate workflows and safeguard data integrity throughout the system.

• Collaborate with team members to diagnose, troubleshoot, and resolve data-related challenges promptly and effectively.

• Assist in the design and implementation of efficient data models, schemas, and storage strategies to support various analytics use cases.

• Optimize data processing tasks to enhance performance and scalability, ensuring smooth data flow across different systems.

• Maintain comprehensive documentation that details data systems, workflows, architecture, and any modifications for easy reference and audit purposes.

• Stay updated with emerging tools, platforms, and industry trends to integrate cutting-edge solutions into existing processes.

• Participate actively in information security initiatives by adhering to all organizational policies and reporting any observed vulnerabilities.

• Foster a culture of proactive problem solving, innovation, and continuous improvement within the data engineering team.

• Engage in regular training and development activities to sharpen technical skills and broaden domain expertise.

• Support organizational objectives by delivering projects that align with business goals and operational standards.

• Be flexible and prepared to take on additional responsibilities related to data management or system improvements as the need arises.

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Additional Info

• Bristlecone is deeply committed to upholding principles of equality, diversity, and inclusion, ensuring a fair and unbiased recruitment process.

• They advocate a culture where individuals from all walks of life are valued, respected, and given equal opportunities for growth.

• Information security is a top priority at Bristlecone; all employees are expected to strictly adhere to security policies and practices.

• Team members are encouraged to actively report any breaches or irregularities they notice in the system to the designated InfoSec teams.

• Regular participation in cybersecurity training is mandatory, and employees are expected to be vigilant and proactive in protecting organizational data.

• The organization promotes an open-door policy where concerns related to work culture, diversity, or compliance can be freely shared without fear of retaliation.

• Candidates joining Bristlecone can look forward to a work environment that encourages innovation, autonomy, and personal development.

• Career advancement is supported through mentorship, access to cutting-edge projects, and numerous professional development programs.

• A collaborative and energetic team atmosphere ensures that all employees feel connected, appreciated, and motivated.

• Bristlecone’s expansive network across continents offers immense learning opportunities through cross-cultural and international project exposure.

Please click here to apply.

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