GenpactEmployer profile
Assistant Manager- Data Scientist-COR028261
Location not specified · Experience not specified
Experience
- Experience not specified
Salary
- Not disclosed
Location
- Location not specified
Work mode
- Not specified
Job type
- Full-time
Apply by
- Closing date not listed
Posted
- 12 Sept 34
About this role
With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.
Welcome to the relentless pursuit of better.
Inviting applications for the role of Assistant Manager- Data Scientist
We are seeking an experienced and skilled Full Stack Data Scientist to join our team. In this role, you will be responsible for driving data-driven decision-making and delivering actionable insights through advanced data modelling, statistical analysis, and machine learning techniques. You will leverage your expertise in various domains, including classification, regression, graph transformers, and root cause analysis, to solve complex business problems and drive innovation.
Responsibilities
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Design and implement robust data models and pipelines for data ingestion, transformation, and storage.
- Perform exploratory data analysis, feature engineering, and data visualization to uncover valuable insights and patterns.
- Develop and deploy machine learning models for classification, regression, and other predictive tasks using techniques such as graph transformers and deep learning.
- Conduct root cause analysis to identify underlying factors contributing to specific outcomes or anomalies.
- Implement advanced statistical techniques, including hypothesis testing, experimental design, and causal inference, to draw reliable conclusions from data.
- Communicate complex analytical findings and recommendations to stakeholders in a clear and actionable manner.
- Stay up-to-date with the latest advancements in data science, machine learning, and relevant technologies, and drive their adoption within the organization.
- Participate in code reviews, ensure adherence to coding standards, and promote best practices in data science and machine learning workflows.
- Provide leadership and guidance in troubleshooting infrastructure-related issues, leveraging automation tools and monitoring systems to ensure timely resolution of incidents.
- Stay abreast of emerging cloud technologies, industry trends, and best practices related to Infrastructure such as Code and cloud operations and drive continuous improvement initiatives.
- Foster a culture of collaboration, innovation, and excellence within the Cloud Operations team, promoting knowledge sharing, skill development, and career growth opportunities.
Minimum Qualifications/skills
- Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred.
- Proficiency in programming languages such as Python, R, or Scala, and experience with data science libraries and frameworks (e.g., TensorFlow, Keras, Scikit-learn, Pandas, NumPy).
- Expertise in data manipulation, cleansing, and preprocessing techniques, as well as data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Knowledge of database systems (e.g., SQL, NoSQL) and experience with data warehousing and data lake architectures.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data services.
- Strong understanding of classification, regression, and graph transformer techniques, as well as their applications in various domains.
- Experience in root cause analysis and implementing statistical methods for causal inference and experimental design.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities, with the ability to work effectively in cross-functional teams.
- Passion for staying up to date with the latest advancements in data science, machine learning, and related technologies
- Relevant certifications (e.g., AWS Certified DevOps Engineer Professional, Azure DevOps Engineer Expert, are highly desirable.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Job
Assistant Manager
Primary Location
India-Bangalore
Education Level
Bachelor's / Graduation / Equivalent
Job Posting
Mar 29, 2024, 4:38:44 AM
Unposting Date
Apr 3, 2024, 2:29:00 PM
Master Skills List
Corporate
Job Category
Full Time