Associate Data Scientist (1 - 1.5 yrs of)
- SAP
- 1 to 5 Yrs
- All India
- 2 months ago
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Job Description
- Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description We are seeking a Data Scientist to join our data science team in Bangalore. This individual contributor role will be responsible for driving data-driven decision making across the organization. They will collaborate with business stakeholders, understand their problems, and design data-based solutions for them. Key responsibilities include: 1. Develop and implement machine learning models, perform data analysis, and create predictive models to support the Client Services teams. 2. Collaborate with team members and stakeholders to understand their data science needs and design solutions in collaboration/guidance from team members. 3. Conduct research to identify new methods and techniques to improve existing models. 4. Create visualizations to communicate complex data and insights in a clear and effective manner. 5. Ensure data quality throughout all stages of acquisition and processing, including data cleaning, normalization, and transformation. 6. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications 1 or more years of relevant work experience with a Bachelors Degree or an Advanced degree (e.g. Masters, MBA, JD, MD) Preferred Qualifications 1 - 1.5 years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD) in data science, machine learning, AI, or a related field. Proficient in Python, R, SQL, and other data science tools. Knowledge of big data platforms like Hadoop, Spark, or similar technologies. Knowledgeable in machine learning, generative AI techniques and algorithms. Familiarity with Large Language Models such as OpenAI's GPT-3, and open-source models like Falcon or Llama2. Proficient in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models. Excellent problem-solving skills and ability to think critically. Strong communication skills to clearly articulate the message with team members and stakeholders Knowledge of cloud platforms like AWS, GCP, or Azure is good to have. Familiarity with data visualization tools like Tableau, PowerBI, or similar. Ability to work in a team and independently as required. Familiarity with containerization technologies like Docker or Kubernetes. Additional Information ,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Associate Data Scientist (1 - 1.5 yrs of)Contact Details:
Company: VisaLocation(s): All India+ View Contact
Keyskills: Python R SQL Hadoop Spark Machine Learning Big Data Data Visualization Docker Kubernetes AI
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