Data Science Manager

Job Title: Data Science Manager

Location: Bengaluru, India (Hybrid)
Department: Data & Analytics

About Picarro:

Picarro is a leading innovator in high-precision scientific instruments leveraging spectroscopy to measure greenhouse gases, air quality, and isotopic analysis. Our data is crucial to understanding climate change, emissions tracking, and ensuring global compliance with environmental standards. We’re expanding our data capabilities to drive deeper insights, analytics, and automation.

Role Overview:

We are seeking an experienced Data Science Manager with strong leadership and technical expertise in PySpark, big data frameworks, and machine learning. This individual will lead a cross-functional team of data engineers and data scientists to build scalable data pipelines, advanced analytics solutions, and impactful models that support Picarro’s scientific and operational goals.

Responsibilities:

• Lead and mentor a team of data engineers and data scientists working on production-scale data solutions.
• Design and implement scalable ETL/ELT pipelines using PySpark, Spark SQL, and other big data tools.
• Drive the development of machine learning models for scientific data analysis, anomaly detection, and predictive insights.
• Collaborate with cross-functional teams including software engineering, firmware, hardware, and product teams to integrate data-driven features into products and services.
• Own the architecture of the data platform, including data lakes, data warehouses, and real-time data processing.
• Ensure high data quality, governance, and reproducibility across all pipelines and models.
• Translate scientific research and business requirements into actionable data solutions.
• Evaluate and introduce emerging tools and techniques to improve performance and reliability.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD is a plus.
• 8+ years of experience in data engineering or data science roles, with at least 2+ years in a technical leadership or management role.
• Strong proficiency in PySpark, Spark, SQL, and distributed computing.
• Experience building scalable data pipelines with cloud-based tools (AWS/GCP/Azure).
• Solid understanding of ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and model deployment workflows.
• Proven experience leading data projects from ideation to production.
• Familiarity with DevOps practices, CI/CD for data, and containerization (Docker/Kubernetes).
• Excellent communication and stakeholder management skills.
• Experience working with scientific or sensor-based datasets is a strong plus.
• Strong project management and people management skills, with a proven ability to lead and collaborate with cross-functional teams across multiple geographies.

Nice to Have:

• Domain experience in environmental science, instrumentation, or physics-based modeling.
• Experience with time-series data and anomaly detection.
• Exposure to data visualization tools like Power BI, Tableau, or custom dashboards using Plotly/Streamlit.

About Picarro:

We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.

If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.