Senior - Data Scientist
Senior - Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Recruitment Fraud Alert
Weve learned that scammers are impersonating Commvault team membersincluding HR and leadershipvia email or text. These bad actors may conduct fake interviews and ask for personal information such as your social security number.
What to know:
- Commvault doesnotconduct interviews by email or text.
- We will never ask you to submit sensitive documents (including banking information SSN etc) before your first day.
If you suspect a recruiting scam please contact us at
About Commvault
Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover take action and rapidly recover from cyberattacks keeping data safe and businesses resilient. The companys unique AI-powered platform combines best-in-class data protection exceptional data security advanced data intelligence and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years more than 100000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks improve governance and do more with data.
The Opportunity:
You will design develop and deploy AI/ML solutions build scalable data pipelines and work on applications in NLP Computer Vision and Generative AI. The role requires strong programming (Python/Java/R) experience with ML frameworks (TensorFlow PyTorch Hugging Face) and cloud expertise (Azure/AWS). Youll also implement MLOps (Docker Kubernetes CI/CD) and collaborate with teams to translate data insights into business impact.
What youll be doing..
- Will be responsible for designing and developing machine learning systems and AI systems implementing appropriate ML algorithms and conducting experiments. They possess strong programming skills knowledge of data science and expertise in statistics.
- Work on system design and API development cloud deployment MLOps. design and develop scalable AI/ML applications.
- Work with data to create models perform analysis train and retrain models to optimize performance. Your responsibilities will involve designing and constructing machine learning models as well as refining and updating existing models.
- Advanced problem-solving and quantitative analysis capabilities utilizing programming languages like Python Java and R to derive actionable insights.
- Partner with other teams to build design and maintain core data infrastructure pipelines and data workflows to automate dashboards and analyses in order to increase efficiency of teams workflows.
- Implement MLOps practices including containerization (Docker Kubernetes) CI/CD pipelines (Azure DevOps) and version control (GitHub).
- Lead and coordinate cross-functional projects
- Work on massive structured unstructured transactional and real-time data sets from a variety of sources to analyse customer usage patterns and provide actionable intuitive impactful insights using metrics algorithms and statistics.
- Design and build robust data pipelines for processing and analysing large datasets.
- Proficient in implementing deep learning techniques for computer vision DL GEN AI NLP and reinforcement learning to solve complex problems.
- Familiarity with MLOps ensuring smooth integration of machine learning workflows into production environments and managing model lifecycle
- Advanced understanding of AI model interpretability (e.g. SHAP LIME) to provide insights into complex machine learning models and improve model transparency for business users
- Collaborative team player with demonstrated experience working with cross-functional teams and stakeholders ensuring alignment on objectives and successful delivery of data-driven solutions.
- Proficient in communicating complex data insights and narratives to non-technical stakeholders translating technical results into actionable business recommendations and strategic plans
- Build predictive models to detect anomalies
Who you are
- Bachelors degree in a quantitative field (Economics Math Statistics Engineering Computer Science or similar discipline)
- Proven experience as an AI or Machine Learning Engineer or similar role (data science GenAI)
- Exposure to Generative AI concepts and frameworks (LLMs Hugging Face Transformers LangChain)
- Ability to write robust code in Python Java or R
- Proficiency in SQL or other advanced database querying languages (e.g. T-SQL PL/SQL) for efficient data extraction transformation and analysis.
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Experience in building and deploying AI-powered solutions on cloud platforms (including Microsoft Azure AI and Azure ML services.
- Deep knowledge of machine learning frameworks and algorithms (e.g. TensorFlow PyTorch Scikit-learn XGBoost) for developing predictive models deep learning architectures and natural language processing (NLP) applications.
- Excellent communication skills.
- Outstanding analytical and problem-solving skills.
- Experience with Microsoft Azure suite including Data Factory Container Services DevOps and Azure Machine Learning Services to develop deploy and manage scalable data solutions.
Tech Stack & Skills - Python PyTorch /TensorFlow Hugging Face SQL Azure ML Azure DevOps Azure Synapse Power BI GitHub Docker Kubernetes Java AWS
#LI-MR1
#LI-Hybrid
Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work.
Commvaults goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault please email For any inquiries not related to an accommodation please reach out to.
Required Experience:
Senior IC
Employment Type
Full Time
