Working at Watlow

Are you looking for an opportunity to make a great living and be part of a thriving cross functional community? Watlow is a global technology and manufacturing leader who provides world class engineering expertise through innovative thermal products and systems, enabling our customers to thrive. We are making a positive impact every day as our solutions enrich the lives of people everywhere. We have been providing breakthrough thermal solutions for nearly a century. Our corporate values guide us uncompromisingly to always do the right thing, continually learn and improve, respect everyone and lead with service and humility.

About the role

As a Data Scientist with a specialization in time series analysis, you will play a vital role in supporting the Industry 4.0 development team. You will be responsible for analyzing and interpreting complex data sets related to time-dependent processes and performance of equipment components. Your insights will drive improvements in operational efficiency, predictive maintenance, and process optimization for the customers, as well as data-driven advances for new product development. The role requires a deep understanding of time series modeling, anomaly detection, and forecasting in an industrial context.

Key Responsibilities:

• Collaborate with internal and external teams to understand the data sets and key performance metrics.
• Develop and implement time series analysis models to monitor and predict industrial process behavior and maintenance needs.
• Analyze historical data to identify trends, cyclical patterns, and correlations in industrial operations.
• Work with the deployment team to advise on data to collect from systems for monitoring equipment and process performance.
• Create visualizations and present analysis to stakeholders and customers.
• Continuously refine models based on feedback and updated data to improve accuracy and relevance.
• Collaborate with data science teammates on findings and methodologies to foster improvement and development of models through a community of practice.
• Collaborate with internal product development teams to understand system behavior and impact product design through data analysis.
• Document analytical methodologies and results, ensuring transparency and reproducibility.
• Knowledgeable about data engineering concepts and methodologies.
• Develop data transformation processes to integrate data from various sources and prepare the data for analysis.
• Ensure data processing meets business requirements and industry practices for data integrity, latency, and scalability.
• Stay up-to-date with emerging trends and technologies in the data science, and evaluate their applicability to our platform.
• Skilled in defining value and uncovering opportunities through analytics within an exploratory environment; adept at navigating ambiguity and delivering meaningful insights through data.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.
• Minimum of 3-5 years of relevant experience in data science with a focus on time series analysis.

Desired Qualifications

• Strong analytic skills related to working with unstructured datasets and time series data.
• Ability to complex data into actionable insights for non-technical stakeholders, and communicate findings in a clear visual format.
• Proven experience in time series analysis, forecasting, and modeling, particularly in an industrial or manufacturing context.
• Proficiency in computer languages (Python, R, SQL) and familiarity with time series analysis libraries and frameworks.
• Experience with big data platforms (Azure, Databricks)
• Experience with big data tools (Spark, Synapse, Hadoop, etc.)
• Strong understanding of statistical and machine learning techniques as they relate to time series data (e.g., ARIMA, LSTM, Prophet).
• Experience with data visualization tools (e.g., Power BI, Tableau, Grafana) and the ability to create intuitive dashboards.
• Experience with relational SQL and NoSQL databases.
• Familiarity building and optimizing data pipelines, architectures, and data sets is a plus.
• Strong communication, organizational skills, and attention to detail.

Benefits: The Watlow Total Compensation Plan

The health, well-being and financial stability of you and your family is a high priority to us. The Watlow Total Rewards Plan includes competitive compensation and a full range of life and career enhancing benefits:

• Annual Achievement Award
• 401(k) plan that includes a company match on your contribution and an annual company contribution that is tied to company performance
• Onsite wellness clinic
• Wellness incentives
• Employee Personal Assistance Program
• Dental, medical, vision and short-term and long-term disability insurance
• Paid holidays, personal time, and vacation
• Parental leave
• Tuition reimbursement

Diversity & Inclusion

We proactively embrace diversity in all its dimensions across our company and cultivate a culture of inclusion and forward thinking that respects and reflects each team member's individual strengths, views, and experiences. Watlow takes pride in being an inclusive equal opportunity employer and considers for employment qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Please let us know confidentially if you need or require any special accommodations to participate in our recruiting process by emailing us at accommodations@Watlow.com.