Linde Inc.
Data Scientist
Danbury, CT, United States | req32332
- Collaborate with business partners to understand system and operational
requirements and define appropriate technical solutions
- Support and administer enterprise systems and
technical platforms while leading technical development of tools and processes
that enhance system performance, monitoring, and decision support
- Stay abreast of new technology and actively
contributing ideas for system improvements, infrastructure enhancements, and
administrative tools. Balance implementation and configuration of system solutions
with replication and maintenance, monitoring, and support of existing systems
and tools
- Utilize technical skills to develop scripts, utilities, and system
automation tools in order to increase productivity and efficiency within the
business. Write code and design database schemas for applications and system-related
data structures
- Write SQL queries to analyze data and support system
operations, utilizing technologies, including Python and Tableau, to create
visualizations in order to clearly display system performance metrics and
operational data to business users
- Write Python scripts used for systems administration, automation, and
back-end operational processes
- Remote work permitted from any location in the
U.S.
- Must have a Master's degree or foreign equivalent in Computer Science,
or a related field
- Coursework/graduate research experience must include:
Programming expertise with Python in a consulting role working directly with
clients to solve a wide range of complex problems; Utilizing database schema
design, complex query optimization, and data creation to enable actionable
business insights, specifically in parsing and transforming raw data into
structured formats— with tools like Regular Expressions —to support efficient
querying, analysis, and automated processing workflows
- Designing and
developing scalable and sustainable back-end applications, including creating
and integrating RESTful APIs for seamless communication, and ensuring software
quality through robust unit and integration testing using frameworks such as
PyTest or GoogleTest or other testing frameworks
- Translating complex data into
actionable insights by creating interactive data visualizations and dashboards
using tools such as Tableau or Python visualization libraries (plotly,
matplotlib, seaborn)
- Developing responsive, and user-friendly interfaces
for mobile and web applications using JavaScript frameworks and leveraging
containerization technologies like Docker to configure and deploy microservices
- TRAVEL REQT: Up to 50% domestic and international travel required
- HOURS: Full-Time; Mon-Fri (40 hours per week)
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Linde serves a variety of end markets including chemicals, energy & decarbonization, food & beverage, electronics, healthcare, manufacturing, metals & mining. Linde’s industrial gases are used in countless applications, from life-saving oxygen for hospitals to high-purity & specialty gases for electronics manufacturing, hydrogen for clean fuels and much more. Linde also delivers state-of-the-art gas processing solutions to support customer expansion, efficiency improvements and emissions reductions.
In this role you must learn and abide the Linde Code of Ethics and Code of Conduct by demonstrating honesty, integrity, professionalism in all communications, actions, and decisions.
At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.
Linde offers competitive compensation and an outstanding benefits package. Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, 401(k) matching, pension benefits, an employee discount program, and opportunities for educational and professional growth. Additional compensation may vary depending on the position and organizational level. Build your future with us while making an impact every day!
SALARY: $119,392.00 - $132,000.00/year
We are looking forward to receiving your complete application by selecting the "Apply Now" button above.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.
Linde acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.
*The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.
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Master's degree in computer science or related field; Python, database schema design, SQL, RESTful APIs, testing, Tableau, JavaScript frameworks, Docker, and data visualization experience required.
Key Responsibilities
- developing automation
- writing queries
- creating visualizations
Skills & Tools
Python, Tableau, SQL, Regular Expressions, RESTful APIs, PyTest, GoogleTest, Plotly, Matplotlib, Seaborn, JavaScript, Docker
Job Details
- Category: Data and Analytics
- Seniority: Entry Level
- Commitment: Full Time
- Workplace: Remote — Danbury, Connecticut, United States
- Salary: USD 119,392 – 132,000 / year
- Languages: English
Benefits
- 401k matching
- Generous paid time off
- Tuition reimbursement
- Retirement plan
About Linde Inc.
An industrial gas and engineering company serving diverse end markets with gases and processing solutions. — Industry: Manufacturing
