Sr Data Scientist

India

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Devo, the cloud-native logging and security analytics company, empowers security and operations teams to maximize the value of all their data. Only the Devo platform delivers the powerful combination of real-time visibility, high-performance analytics, scalability, multitenancy, and low TCO crucial for monitoring and securing business operations as enterprises accelerate their shift to the cloud.

Headquartered in Cambridge, Mass., Devo is backed by Insight Partners, Georgian, and Bessemer Venture Partners. Learn more at www.devo.com.  Devo security products team is developing the world’s first and only Autonomous SOC to revolutionize the security industry. Candidates will be working on the most cutting-edge security technology when it comes to autonomous and automated threat detections, behavioral analysis, investigations, and hunts.   JOB SUMMARYWe are seeking a highly motivated  Sr. Data Scientist with a proven track record of developing threat detection algorithms. The ideal candidate will be responsible for the entire machine learning life cycle, from data acquisition and feature engineering to model evaluation and monitoring. RESPONSIBILITIES
  • Experience in transferring applied research to technologies.
  • Experience in cyber security concepts such as malware detection, fraud prevention, adversary tradecrafts, emerging threats.
  • Design, develop, and implement scalable data pipelines using Spark/PySpark and big data frameworks to ingest, transform, and load data.
  • Optimize and troubleshoot complex queries for efficient data retrieval and performance.
  • Build and deploy AI-ML models across diverse data sources to extract valuable insights.
  • Familiar with modern tools for data exploration and analysis.
  • Collaborate with data scientists, analysts, and stakeholders to understand business needs and translate them into actionable data solutions.
  • Document code and processes for clarity and knowledge transfer.
REQUIREMENTS
  • Bachelor’s/Master's degree in Data Science, Statistics, Computer Science, or a related field (a plus).
  • At least 5 years of experience working in query tuning, performance tuning, implementing and debugging Spark/Pyspark and other big data solutions.
  • Experience with anomaly detection, clustering statistics, time series analysis, reinforcement learning, generative AI/agentic frameworks, large language models.
  • Experience with cloud platforms like AWS or GCP and containerization technologies like Docker and Kubernetes.
  • Strong problem-solving, analytical, and critical thinking skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team.
DESIRED
  • Understanding of Security Operations Center (SOC) and security management workflows in large organizations.
  • Experience with data governance and data quality frameworks.
COMPENSATIONThe base salary range is what we expect to pay a substantially qualified candidate, with final offer being based on the candidate’s relevant experience and skills, as well as location and other factors. Total compensation for the role will include base salary, as well as a bonus or commission target and an equity grant applicable to the level of the role.
  WHY WORK AT DEVO?  
  • You’ll join a company where we value our people and provide the tremendous opportunities that come with a hyper-growth organization. 
  • Be part of an international company with a strong team culture that celebrates success. Share our core values: Be bold - Be Inventive - Be humble - Be an ally .
  • Work in an environment that will challenge you and enable you to grow as a professional.  
 COMPREHENSIVE BENEFITS, INCLUDING
  • Top end hardware 
  •  Employee referral program — get a bonus for helping friends get jobs at Devo!
  •  Employee Stock Option Plan.
  •  Company offsites and events 
  •  Gender and diversity initiatives to increase visibility, inclusion, and sense of belonging. 

 

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Category: Data Science Jobs

Tags: AWS Big Data Clustering Computer Science Data governance Data pipelines Data quality Docker Engineering Feature engineering GCP Generative AI Kubernetes LLMs Machine Learning ML models Pipelines PySpark Reinforcement Learning Research Security Spark Statistics

Perks/benefits: Career development Equity / stock options Salary bonus Startup environment Team events

Region: Asia/Pacific
Country: India

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