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

Position:

• Title: Data Scientist

• Company: Yulu

• Location: Bengaluru, Karnataka, India

• Job Type: Full-time

• Job Mode: On-site

• Job Requisition ID: Not mentioned

• Years of Experience: Not specified; as per JD looks like a fresher entry level role; 0-3 years

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Company Description:

• About Yulu:

  • Yulu is India’s leading provider of shared electric mobility services, aiming to reduce urban traffic congestion and combat air pollution by offering small, smart, and eco-friendly electric vehicles.

  • Established by a mission-driven team with a commitment to innovation and positive impact, Yulu has earned numerous prestigious awards for its contributions to sustainable urban mobility.

  • The company focuses on two key areas:

    • Providing affordable, last-mile commuting solutions for daily travelers.

    • Enabling gig workers to deliver goods efficiently, thus contributing to lower carbon emissions.

  • Yulu’s innovative solutions combine electric mobility with technology, ensuring a seamless and environmentally conscious commuting experience.

  • The company is constantly looking for individuals who demonstrate integrity, dedication, a collaborative mindset, and the courage to take calculated risks.

  • If you are passionate about revolutionizing urban commuting and want to be part of a team that thrives on innovation and commitment, Yulu welcomes you to join its growing community.

  • To stay updated on Yulu’s latest innovations and milestones, visit Yulu’s Newsroom and Company Website.

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Profile Overview:

• Role Overview:

  • Yulu is seeking an experienced Data Scientist who can develop, refine, and implement statistical models and machine learning (ML) algorithms to solve practical challenges in the mobility space.

  • The role involves working closely with cross-functional teams, understanding analytical needs, and ensuring that data insights drive business decisions.

  • As a Data Scientist at Yulu, you will engage in exploratory data analysis (EDA), optimize model performance, and contribute to the enhancement of data pipelines.

  • The ideal candidate should have a passion for applying data science techniques to transform urban mobility and improve operational efficiency.

  • Additionally, staying updated with advancements in AI/ML technologies, including deep learning and Large Language Models (LLMs), is crucial to succeed in this role.

  • This role offers a unique opportunity to contribute to sustainable urban development by leveraging data-driven approaches.

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Qualifications:

• Core Competencies and Skills:

  • Data Collection and Cleaning:

    • Gather, clean, and preprocess data from diverse internal and external sources.

    • Ensure high data quality and consistency across multiple datasets.

  • Model Development and Optimization:

    • Design and refine statistical models and ML algorithms to solve real-world problems.

    • Evaluate and improve model performance using appropriate metrics and methodologies.

  • Exploratory Data Analysis (EDA):

    • Conduct EDA to identify trends, patterns, and anomalies within datasets.

    • Use visualization techniques to present key insights for informed decision-making.

  • Data Pipeline Development and Maintenance:

    • Assist in building reliable ETL/ELT pipelines for seamless data movement.

    • Collaborate with data engineers to ensure pipelines are optimized for performance.

  • Data Quality and Security:

    • Implement validation processes and error-handling mechanisms to maintain data integrity.

    • Adhere to industry best practices for data security and regulatory compliance.

  • Collaboration and Communication:

    • Work closely with product, business, and technical teams to identify analytical needs.

    • Present findings in a clear and concise manner to both technical and non-technical stakeholders.

  • Continuous Learning and Innovation:

    • Stay abreast of emerging AI/ML technologies and apply innovative approaches to solve mobility-related challenges.

    • Explore deep learning techniques and advancements in Generative AI and LLMs for continuous improvement.

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Key Responsibilities:

• Data Collection and Preprocessing:

  • Acquire structured and unstructured data from multiple sources, ensuring consistency and quality.

  • Clean and preprocess data to facilitate accurate model development and analysis.

• Model Development and Implementation:

  • Design and develop statistical models and machine learning algorithms to address practical business challenges.

  • Fine-tune model parameters and improve performance through iterative testing and validation.

• Cross-functional Collaboration:

  • Collaborate with data engineering, product management, and business teams to understand data requirements and analytical objectives.

  • Translate business needs into technical solutions and actionable insights.

• Exploratory Data Analysis (EDA):

  • Analyze large datasets to identify trends, relationships, and anomalies.

  • Apply statistical methods and visualization techniques to uncover meaningful insights.

• Model Performance Evaluation:

  • Evaluate model accuracy and efficiency using appropriate performance metrics.

  • Iterate on model development to ensure continuous improvement and reliability.

• Data Pipeline Management:

  • Assist in the creation and maintenance of ETL/ELT pipelines to ensure smooth data flow.

  • Optimize data pipelines for scalability and performance.

• Documentation and Knowledge Sharing:

  • Document methodologies, best practices, and findings for future reference.

  • Share knowledge and insights with team members to ensure alignment and continuity.

• Staying Current with AI/ML Trends:

  • Continuously explore emerging AI/ML technologies, including deep learning and LLMs.

  • Apply innovative techniques to enhance Yulu’s data capabilities and operational efficiency.

• Communication and Presentation:

  • Present analytical findings and model outcomes to technical and non-technical stakeholders.

  • Simplify complex concepts to facilitate understanding and adoption of data-driven insights.

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Additional Info:

• Work Environment and Culture:

  • Yulu fosters a culture that encourages professional growth, integrity, and innovation.

  • Employees benefit from a collaborative and inclusive work environment where their contributions are valued.

  • The company promotes continuous learning, ensuring that team members stay ahead of the curve in their respective domains.

• Opportunities for Impact:

  • Working at Yulu provides an opportunity to contribute to sustainable urban mobility solutions.

  • The role directly impacts Yulu’s mission of reducing traffic congestion and lowering carbon emissions.

  • Employees play an active role in shaping strategies that align with environmental and societal goals.

• Team Collaboration and Growth:

  • Yulu’s multidisciplinary teams ensure that ideas and solutions are refined through collective expertise.

  • Collaboration with industry experts and thought leaders provides opportunities for continuous learning and skill enhancement.

• Recognition and Rewards:

  • Yulu values employee contributions and recognizes efforts that drive organizational growth.

  • Employees are offered a supportive environment where their work is appreciated, and achievements are celebrated.

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Why Join Yulu?

• Be Part of an Innovative Team:

  • Join a team that thrives on innovation and is committed to transforming urban mobility.

  • Work alongside passionate individuals who share a common goal of building sustainable solutions for the future.

• Professional Growth and Development:

  • Gain hands-on experience in applying AI/ML techniques to solve real-world challenges.

  • Explore opportunities to learn, innovate, and contribute to cutting-edge projects.

• Impactful Work Environment:

  • Contribute to a company that is making a positive impact on society and the environment.

  • Take ownership of projects that drive meaningful change in the mobility landscape.

• Collaborative and Supportive Culture:

  • Enjoy a work culture that promotes collaboration, integrity, and mutual respect.

  • Benefit from a supportive team that encourages personal and professional growth.

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Security and Compliance:

• Data Security and Privacy:

  • Ensure adherence to data security standards and regulatory requirements.

  • Implement best practices for secure data handling and storage.

• Compliance with Industry Standards:

  • Stay compliant with industry regulations and guidelines to maintain data integrity.

  • Monitor data processes to identify and mitigate potential security risks.

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Growth Opportunities:

• Career Advancement:

  • Yulu offers opportunities for career progression through skill development and impactful contributions.

  • Employees are encouraged to take on leadership roles and expand their expertise.

• Learning and Development:

  • Yulu provides access to learning resources, workshops, and mentorship programs.

  • Employees can explore new technologies and develop expertise in emerging AI/ML fields.

• Networking and Exposure:

  • Collaborate with industry leaders, experts, and innovators.

  • Gain exposure to cutting-edge technologies and practices in the mobility sector.

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Application Process:

• How to Apply:

  • Interested candidates can apply by visiting Yulu’s Careers Page.

  • Applications will be reviewed on a rolling basis, and shortlisted candidates will be contacted for further discussions.

• Interview Process:

  • The selection process typically includes multiple rounds of interviews to assess technical skills, problem-solving abilities, and cultural fit.

  • Successful candidates will be onboarded to join Yulu’s mission-driven team.

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Summary:

• Why Yulu?

  • Yulu offers an exciting opportunity to leverage AI/ML techniques to solve urban mobility challenges.

  • Join a company that values innovation, collaboration, and sustainability.

  • Be part of a team that is transforming the way people commute and contribute to building a greener future.

If this role excites you and you’re ready to take on the challenge of transforming urban mobility, we invite you to become part of the Yulu tribe! 🚲💡

Please click here to apply.

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