We are looking for a ‘Senior Manager - Data Science’ to join our Technology team at Clarivate.
You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services
About You – experience, education, skills, and accomplishments
Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience.
Minimum 10 years of experience in data science, with at least 3+ years of experience in a leadership role.
Proficiency in programming languages such as Python, R, or Scala.
Strong expertise in statistical analysis and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
Proficiency in various machine learning algorithms (regression, classification, clustering, time series analysis, etc.) and their implementation.
Understanding of NLP techniques for text analysis, sentiment analysis, and language generation.
Experience with data visualization tools (e.g., Tableau, Power BI).
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It would be great, if you also have,
Skills in data cleaning, transformation, and preprocessing to prepare data for analysis.
Ability to design and implement data pipelines for efficient data ingestion, transformation, and storage.
Familiarity with big data tools like Hadoop, Spark, and cloud-based data platforms (AWS, Azure, GCP).
What will you be doing in this role?
Lead and manage a highly specialized or large team of data scientists, providing mentorship and ensuring continuous professional development.
Drive the successful execution of machine learning and data science projects, ensuring alignment with business goals.
Partner and consult with stakeholders to plan and define the data science strategy, ensuring alignment with overall business objectives.
Oversee and influence the application of AI/ML techniques to solve critical business challenges and improve operational efficiency.
Build and promote a collaborative environment that encourages knowledge-sharing and fosters innovation within the data science team.
Ensure the team develops and delivers data science solutions in compliance with governance, privacy, and security standards.
Oversee and manage projects, ensuring timely delivery of data science solutions that align with the organization's strategic goals.
About the Team
You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide.
Hours of Work
This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
Skills Required
- Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience.
- Minimum 10 years of experience in data science, with at least 3+ years of experience in a leadership role.
- Proficiency in programming languages such as Python, R, or Scala.
- Strong expertise in statistical analysis and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Proficiency in various machine learning algorithms (regression, classification, clustering, time series analysis, etc.) and their implementation.
- Understanding of NLP techniques for text analysis, sentiment analysis, and language generation.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Skills in data cleaning, transformation, and preprocessing to prepare data for analysis.
- Ability to design and implement data pipelines for efficient data ingestion, transformation, and storage.
- Familiarity with big data tools like Hadoop, Spark, and cloud-based data platforms (AWS, Azure, GCP).
Clarivate Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.
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Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
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Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
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Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.
Clarivate Analytics Insights
What We Do
Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.
