Position: Data Scientist I
Core Responsibilities
The role of Data Scientist I is designed to be the foundational entry point into our data science and engineering team, where you will tackle complex business challenges using advanced analytical methods.
You will work closely with cross-functional teams, including product managers, software engineers, and business analysts, to translate ambiguous business requirements into robust, scalable data solutions.
Your day-to-day operations will involve analyzing large datasets, identifying underlying patterns, and presenting your findings to stakeholders in a clear, actionable format.
You will be expected to explore and adopt emerging technologies in the field of data science, ensuring that Honeywell remains at the cutting edge of technological advancement and industry best practices.
As a key contributor, your analyses will directly influence strategic decisions, ultimately driving operational efficiency, reducing costs, and uncovering new avenues for revenue generation and growth.
The role requires a high degree of intellectual curiosity, a passion for innovation, and the ability to work in a fast-paced, collaborative corporate environment.
You will be supported by senior data scientists who will provide mentorship, allowing you to grow your technical skills and business acumen over time.
Collaboration is a cornerstone of this role, and you will participate in regular knowledge-sharing sessions to foster a culture of continuous learning and technical excellence within the organization.
You will learn how to build, deploy, and maintain machine learning models that are robust, scalable, and capable of handling real-time data from various connected devices and enterprise systems.
The position serves as an excellent platform to understand the intricacies of industrial manufacturing, aerospace products, and security technologies through a data-driven lens.
Through this role, you will develop a deep understanding of the business verticals at Honeywell, allowing you to align your technical solutions with overarching organizational goals and objectives.
We value proactive problem solvers who are not afraid to propose novel solutions, experiment with new algorithms, and push the boundaries of what is possible with data science.
Additional Daily Tasks
Monitoring existing model performance to ensure data drift or model decay does not compromise operational efficiency or decision quality.
Collaborating with data engineering teams to refine extraction, transformation, and loading (ETL) pipelines for better data reliability.
Preparing comprehensive documentation for all analytical models, methodologies, and codebases to ensure transparency and reproducibility within the team.
Company: Honeywell International Inc.
Global Impact
Honeywell is a diversified technology and manufacturing conglomerate that invents and manufactures technologies to address some of the world’s most critical challenges around energy, safety, security, and productivity.
We operate globally with four strategic business groups: Aerospace, Building Technologies, Performance Materials and Technologies, and Safety and Productivity Solutions, all of which generate massive amounts of data.
The data science team at Honeywell is central to our digital transformation, leveraging massive datasets from industrial IoT, connected devices, and supply chain networks to optimize business processes.
As a company, we are dedicated to improving the quality of life for people around the globe by creating sustainable, connected, and secure environments where people can thrive.
Innovation is deeply embedded in our DNA, with a history of invention that spans over a century of engineering excellence, scientific discovery, and relentless customer focus.
Our commitment to sustainability is unmatched; we are actively using data science to reduce carbon footprints, optimize energy efficiency, and promote green technology solutions for our enterprise customers.
Honeywell's inclusive and diverse culture empowers employees to think differently, challenge the status quo, and bring their authentic selves to work every single day.
With a presence in over 70 countries and hundreds of locations worldwide, our company offers unparalleled opportunities for cross-border collaboration and global career development.
We are heavily invested in research and development, continuously seeking ways to integrate artificial intelligence and machine learning into our traditional manufacturing and aerospace sectors.
The collaborative ecosystem at Honeywell ensures that every employee is empowered to make a meaningful impact, regardless of their tenure or level within the organization.
Our corporate values—integrity, innovation, teamwork, and commitment to our customers—guide everything we do and serve as the foundation of our daily operations.
By joining Honeywell, you become part of a legacy of forward-thinkers who are shaping the future of industrial technology, automation, and data-driven innovation.
Core Values
Integrity comes first. We maintain the highest standards of ethics and compliance in all data and analytical activities.
Customer focus guides our research. We ensure every data product we build addresses real-world pain points for our enterprise customers.
Teamwork and respect foster an environment where entry-level data scientists can learn without hesitation and contribute effectively.
Location: Bengaluru, Karnataka, India
Tech Ecosystem
This position is located in the bustling tech hub of Bengaluru, India, specifically situated in Devarabisanahalli Village, KR Varturhobli, a prime area for tech and engineering talent.
Bengaluru, often referred to as the Silicon Valley of India, is home to a vibrant ecosystem of technology companies, research institutions, and innovative startups, fostering a rich environment for networking and professional growth.
The local office is equipped with world-class infrastructure, modern collaborative spaces, and state-of-the-art computing resources to support high-performance data science and analytics.
Working in this location provides you with the unique opportunity to collaborate with diverse, multinational teams spread across various time zones and geographical locations.
The city's rich talent pool means you will be surrounded by some of the brightest minds in engineering, mathematics, and computer science, creating an intellectually stimulating environment.
The Devarabisanahalli area is well-connected to major tech parks, residential areas, and transportation hubs, making the daily commute convenient and efficient for professionals.
Being part of the Bengaluru office puts you at the heart of Honeywell’s digital and software engineering efforts in the Asia-Pacific region.
The local work culture emphasizes a balanced lifestyle, continuous learning, and community engagement, allowing you to grow both personally and professionally.
You will have access to numerous regional tech events, workshops, and seminars that keep you updated on the latest trends in artificial intelligence, machine learning, and big data.
The diversity of Bengaluru's demographic landscape is reflected in our local teams, bringing varied perspectives that enhance our problem-solving and innovation capabilities.
The office environment is designed to encourage creativity, with open layouts and recreational zones that promote informal collaboration and brainstorming among team members.
This location acts as a critical hub for global operations, ensuring that the work you do has a direct and measurable impact on customers worldwide.
Facilities and Infrastructure
Ergonomic workstations to ensure maximum comfort during intensive data analysis and coding sessions.
Onsite cafeteria, recreational spaces, and wellness rooms to help maintain work-life balance during the workday.
High-speed enterprise-grade internet connectivity and specialized servers for rapid testing of machine learning models.
Job type: Full-time
Commitment and Benefits
The role is a full-time employment position, meaning it offers a consistent, stable, and rewarding career path within Honeywell's global engineering and technology organization.
You will be expected to dedicate standard working hours to the development and implementation of advanced data science projects, ensuring continuous progress and alignment with team goals.
Full-time status ensures that you are fully integrated into the team, participating in all team-building activities, strategic planning sessions, and performance reviews.
You will receive a comprehensive benefits package, including health insurance, retirement plans, paid time off, and continuous professional development opportunities to support your well-being and career growth.
Being a full-time employee allows you to build deep, long-lasting relationships with colleagues across various departments, from software engineering to finance and operations.
You are encouraged to take ownership of your projects, seeing them through from the initial research phase to deployment and ongoing maintenance in production environments.
The full-time arrangement provides the necessary time and resources to immerse yourself in complex datasets and develop sophisticated algorithms without the distraction of divided commitments.
We support flexible work hours within this full-time arrangement, provided that key team meetings are attended and project deadlines are met consistently.
Professional growth and career progression are a primary focus, with dedicated time for training, certifications, and workshops to help you transition from a junior role to higher levels of responsibility.
You will be part of the core decision-making loop for data-related tasks, giving you the voice and authority to make meaningful contributions to the organization's success.
This engagement type ensures that you have access to the same resources, mentorship programs, and career counseling that senior executives and engineers utilize at Honeywell.
The stability offered by this full-time role allows you to take calculated risks and explore innovative solutions to complex problems without worrying about job security.
Professional Development
Access to specialized internal training platforms to learn new concepts such as cloud deployment of machine learning and large language models.
Sponsored certifications for relevant tools and technologies, enhancing your data science capabilities over time.
Job mode: Onsite
Collaboration Environment
This role is strictly an onsite position, requiring the employee to be present at the Bengaluru office location to foster direct collaboration, immediate problem-solving, and team cohesion.
Being onsite allows you to have face-to-face interactions with cross-functional teams, which can significantly reduce the time needed to brainstorm and execute complex tasks.
You will have direct access to physical infrastructure, dedicated high-performance computing clusters, and secure internal networks that are essential for handling sensitive industrial data.
The onsite environment provides an immersive experience where you can absorb the company culture, observe senior data scientists at work, and learn through observation and informal mentorship.
It facilitates quick, ad-hoc meetings, whiteboarding sessions, and real-time feedback loops that are incredibly difficult to replicate in a remote or highly distributed work setup.
The office is designed with state-of-the-art facilities, including collaborative laboratories, quiet focus zones, and dedicated meeting rooms that cater to different work styles.
Being present in the office builds a strong sense of camaraderie and trust among team members, which translates to better collaboration and more cohesive project outcomes.
The proximity to decision-makers and senior leaders in the Bengaluru office allows you to present your ideas directly and gain visibility within the larger organization.
It ensures that all data security and compliance protocols are strictly adhered to, as working with sensitive corporate and industrial data often requires secure, controlled environments.
You will benefit from the vibrant office culture, which includes organized events, guest lectures, and networking opportunities that help you build a broad professional network.
Onsite work ensures that you are part of the daily rhythm of the team, participating in morning stand-ups, retrospective meetings, and collaborative coding sessions without technological friction.
We provide a comfortable, ergonomic workspace with all necessary hardware, software licenses, and support services to ensure your productivity and well-being are prioritized.
Security and Data Management
Strict data governance and privacy policies are maintained by keeping all operations within secure office spaces.
Access to restricted networks containing proprietary industrial information is granted only within the physical office premises.
Job requisition id: 107349
Application Tracking
The specific job requisition identifier for this opportunity is 107349, which serves as a unique reference number to track your application throughout the recruitment process.
It ensures that your resume and application materials are routed correctly to the data science hiring committee, minimizing the risk of administrative errors or delays.
When communicating with our recruitment team or applying through our portal, please reference this number to expedite the processing of your profile.
This identifier is also used to categorize the role within our enterprise resource planning and human resources information systems for future reference.
Having a distinct ID helps us match the candidate pool with the specific skills, qualifications, and expectations outlined in the job description for this role.
It allows our human resources department to generate reports on the status of the hiring campaign, track the number of applicants, and evaluate the efficiency of our sourcing channels.
Reference to this number in your application confirms that you are applying for the precise position of Data Scientist I located in Bengaluru, Karnataka, India.
The requisition id is an internal tracking tool designed to maintain transparency and fairness in our hiring procedures across different geographical locations and business units.
You should keep a note of this identifier in your records, as it may be requested during initial screening calls or when checking the status of your application.
Our talent acquisition team uses this ID to map candidates' profiles against the precise needs of the engineering and data science teams, ensuring a high degree of fit.
The identifier remains active in our system until the position is filled, at which point the requisition is closed and all remaining candidates are notified.
Knowing this number demonstrates your attention to detail and thoroughness, which are critical traits we look for in our data scientists.
Administrative Details
Use this ID for all correspondence to ensure quick identification of your records in the HR database.
Years of experience: 0+ years
Freshers and Early Careers
This position welcomes freshers and recent graduates, requiring 0+ years of professional experience, focusing instead on a strong educational foundation and a passion for data science.
The entry-level designation implies that we are looking for candidates who possess the theoretical knowledge and practical know-how gained through academic projects and internships.
We prioritize an individual's ability to learn quickly, adapt to new technologies, and apply abstract mathematical concepts to real-world business problems over extensive work history.
While no prior professional experience is required, candidates should demonstrate a deep understanding of core statistical, mathematical, and machine learning principles.
We evaluate potential based on personal projects, contributions to open-source software, participation in hackathons, or academic research conducted during your undergraduate or graduate studies.
Candidates are expected to have a solid grasp of programming languages such as Python or R, along with familiarity using data manipulation and visualization libraries.
The role is structured to provide an extensive onboarding and mentoring period, designed to help you transition smoothly from an academic mindset to a corporate engineering environment.
You will be paired with an experienced data scientist who will guide you through our internal tools, data pipelines, and project management methodologies.
Your growth is monitored through structured milestones, allowing you to gradually take on more complex tasks, lead small analytical projects, and provide guidance to future junior hires.
We believe that a fresh perspective often leads to the most innovative solutions, which is why we actively seek entry-level talent with boundless enthusiasm and fresh ideas.
Candidates with a strong quantitative background—whether in computer science, statistics, mathematics, or a related discipline—will find this role an ideal start to their careers.
We encourage you to highlight any relevant coursework, capstone projects, or collaborative research that showcases your ability to analyze data and draw meaningful conclusions.
Quantitative Aptitude
Emphasis on fundamental coursework in mathematics, linear algebra, and probability distributions.
Strong analytical thinking to process complex, unstructured data problems from various industrial machinery.
Company description
Overview of Honeywell
Honeywell is a diversified technology and manufacturing company that serves a massive, global customer base with aerospace products, control technologies, and advanced sensing solutions.
We operate in various sectors, including aerospace, building technologies, performance materials, and safety and productivity solutions, offering diverse exposure to complex industrial data.
The company's mission is to invent and manufacture technologies that address some of the world’s most critical challenges in energy, safety, security, and urbanization.
Honeywell is deeply committed to digital transformation, utilizing the power of the Industrial Internet of Things (IIoT) and advanced data analytics to connect machines, processes, and people.
With over a century of engineering and manufacturing excellence, Honeywell has consistently pushed the boundaries of what is possible, creating a legacy of scientific and technological innovation.
Our company places a strong emphasis on sustainability and energy efficiency, integrating data science into the core of our operations to reduce waste and optimize resource consumption.
The Honeywell culture is built on a foundation of integrity, ethical behavior, and a commitment to delivering high-quality products and services to our global customers.
We are a global organization with a presence in over 70 countries, fostering an inclusive environment that brings together people from different backgrounds, cultures, and disciplines.
Honeywell encourages its employees to continuously learn and grow, providing access to extensive training programs, leadership development opportunities, and global career pathways.
The enterprise is dedicated to building a safer, more comfortable, and more sustainable world, and data science is at the heart of realizing this vision.
We continuously invest in research and development to explore new frontiers in automation, artificial intelligence, and data-driven manufacturing processes.
Honeywell’s commitment to excellence and innovation makes it an ideal place for young professionals to start their careers and make a tangible difference in the world.
Commitment to Innovation
The company invests heavily in research, ensuring that team members have access to the most advanced computational tools and datasets.
Focus on creating long-term value through the application of advanced machine learning techniques to real-world industrial systems and operational data.
Profile overview
Role and Impact
The Data Scientist I role at Honeywell involves applying data analysis, machine learning, and statistical modeling techniques to solve complex business and operational problems.
You will be working in a dynamic environment alongside senior data scientists and cross-functional teams, helping to develop and implement innovative, data-driven solutions.
The role requires a strong focus on using data to optimize manufacturing and aerospace processes, reduce operational costs, and identify new opportunities for growth and expansion.
Your responsibilities will include managing end-to-end data science projects, ensuring that they are aligned with corporate objectives and deliver actionable, measurable insights.
We look for a high level of analytical and problem-solving skills, enabling you to dissect complex data challenges, formulate hypotheses, and generate valuable business insights.
As a junior member of the team, you will contribute to the strategic vision of the data science group while receiving mentorship from experienced professionals.
You will be responsible for applying your expertise in algorithms and analytical solutions to support decision-making processes across various business units within Honeywell.
The profile demands excellent communication skills, as you will be required to translate complex technical findings into easy-to-understand formats for non-technical stakeholders.
We value strategic thinking and a collaborative mindset, which allows you to work effectively with diverse teams including engineering, marketing, and operations.
You will have the opportunity to experiment with new analytical methodologies and tools, continuously refining your skills and contributing to the team's knowledge base.
The role is designed to be highly impactful, with your contributions directly influencing process optimization and the overall direction of Honeywell's data-driven innovation.
You will be tasked with identifying data-quality issues, cleaning and preprocessing massive datasets, and ensuring the reliability and validity of your analytical models.
Strategic Contributions
Aligning data-driven solutions with corporate objectives to optimize processes and drive business value across Honeywell’s business units.
Communicating key metrics and performance indicators to various cross-functional stakeholders.
Qualifications
Educational Background
Candidates for the Data Scientist I position must possess a solid foundation in data science, typically with 0+ years of professional experience, which can include internships and academic projects.
A Bachelor’s degree or an advanced degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline is highly valued and strongly preferred.
Proficiency in core programming languages used in data science, primarily Python or R, is mandatory, including familiarity with their respective data science ecosystems.
You must have a strong theoretical and practical understanding of machine learning techniques, including regression, classification, clustering, and optimization algorithms.
Strong analytical and problem-solving capabilities are required, along with the ability to think critically about data and the underlying processes that generate it.
Candidates should possess experience in managing and executing data science projects, from data gathering and exploration to model evaluation and deployment.
The ability to collaborate effectively with cross-functional teams is a critical qualification, as you will be working closely with engineers, product managers, and business leaders.
We value an entrepreneurial spirit and a high degree of intellectual curiosity, which are essential for identifying new data sources and formulating novel solutions.
Familiarity with data visualization and reporting tools is desirable, as it enables you to communicate complex findings and trends to the broader organization effectively.
Experience in interpreting analytical results and translating them into business terms is a key skill that will help you influence the strategic direction of our initiatives.
A strong academic record with relevant coursework in linear algebra, calculus, probability, and computer science is an important indicator of a candidate's potential.
We welcome candidates who have actively participated in data science competitions, published papers, or contributed to open-source libraries during their studies.
Technical Capabilities
Familiarity with deploying simple models in production using libraries such as Scikit-Learn, Pandas, or NumPy.
Understanding of optimization techniques to solve large-scale computational and engineering problems.
Additional info
Work Environment and Opportunities
Working at Honeywell provides an opportunity to work at the forefront of industrial technology, artificial intelligence, and data-driven innovation in the aerospace and automation sectors.
The company offers a comprehensive compensation and benefits package that includes medical, retirement plans, paid time off, and continuous learning and development opportunities.
You will have access to world-class learning platforms, allowing you to upskill in areas such as deep learning, cloud computing, and advanced industrial analytics.
We support an inclusive, collaborative, and diverse work environment that encourages employees to share ideas, innovate, and challenge established norms.
The Bengaluru office provides an excellent working environment with modern amenities, a vibrant culture, and easy access to various transportation and technology networks.
Honeywell’s commitment to sustainability and green technologies means that your work can contribute to creating a better, more energy-efficient, and sustainable world.
Our structured mentorship programs are designed to help you grow rapidly, providing you with the necessary guidance to take on leadership roles in the future.
We encourage continuous professional development by sponsoring attendance at major data science conferences, workshops, and industry-related training sessions.
The collaborative ecosystem ensures that your ideas are heard and that you can make a meaningful impact on our global operations from day one.
This role provides unparalleled opportunities for cross-functional collaboration, allowing you to learn from experts in aerospace, supply chain, and advanced manufacturing.
We take data security and privacy very seriously, and you will be trained on the latest protocols to ensure that all data is handled ethically and securely.
We look forward to receiving your application and are excited about the prospect of having a dynamic, innovative, and driven data scientist join our team.
Career Growth and Mentorship
Opportunities to learn directly from experienced data scientists and business leaders within Honeywell.
Career progression pathways that allow entry-level employees to become fully autonomous data scientists.
Please click here to apply.
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