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Associate Data Scientist

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SAP

2d ago

  • Job
    Full-time
    Junior & Mid Level
  • Data
    Software Engineering
  • Bangalore

AI generated summary

  • You should have 2-4 years of data science experience, strong analytical skills, proficiency in AI/ML, expertise in Python, R, SQL, and experience with real-life datasets and cloud platforms.
  • You will collaborate with global teams to develop AI/ML solutions, analyze business requirements, implement algorithms, test methods, and drive adoption of new technologies while ensuring project delivery.

Requirements

  • 2- 4 years of experience as data scientist
  • Strong analytical and problem solving skills
  • Proficient in any one area of AI/ML streams - Predictive analytics, Speech processing, Text Analytics/NLP, Computer Vision, Machine Translation, generative AI
  • Experience in domains of data-mining/analytics/machine learning on real-life datasets
  • Gathering and analyzing data, identifying key prediction/classification problems, devising solutions and building prototypes.
  • Strong Hands-on experience with Python, R & SQL
  • Formulating machine learning approaches while paying attention to business metrics, designing features from the rich data available from many sources, training, evaluating, and deploying models.
  • Excellent verbal, written and presentation communication skills
  • Experience on cloud platforms and applications will be an added advantage.

Responsibilities

  • You will work with a team of highly technical and motivated developers.
  • Collaborate and work with teams spread across geographies and time zones.
  • You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions.
  • Implement backlogs for functional and non-functional requirements.
  • Develop and deploy efficient AI/ML modules that drives complex business applications.
  • Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
  • You will work on multiple topics and technologies with adequate enablement.
  • Work with industry experts and technology experts to translate our customers’ business needs into machine learning, optimization or mathematical solutions.
  • Responsible for testing and evaluating machine learning methods and maintain a high level of quality.
  • Implement most recent algorithms and approaches for machine learning in collaboration with our Architects/Data scientists.
  • Driving adoption of newer cutting-edge technology within the organization through knowledge sessions, adoption of the same in the solution, etc.
  • Work closely with other IBSO team members, SAP development teams, external partners and customer teams to ensure successful project delivery.
  • Enhance existing skills continually and seek newer areas for personal development.

FAQs

What is the primary focus of the Associate Data Scientist role at SAP?

The primary focus of the Associate Data Scientist role is to work on the entire lifecycle of development projects, analyze customer-specific business requirements, develop and deploy AI/ML modules, and collaborate with various teams across geographies and time zones.

What qualifications are necessary for the Associate Data Scientist position?

Candidates should have 2-4 years of experience as a data scientist, strong analytical and problem-solving skills, proficiency in AI/ML streams, and hands-on experience with Python, R, and SQL.

Are there any specific areas of expertise required for this role?

Yes, candidates should have proficiency in one of the AI/ML streams such as predictive analytics, speech processing, text analytics/NLP, computer vision, machine translation, or generative AI.

What type of projects will the Associate Data Scientist be involved in?

The Associate Data Scientist will work on both customer-specific and SAP-defined projects, involving data analysis, implementation of machine learning approaches, and enhancing and maintaining machine learning models.

What kind of work environment can I expect at SAP?

SAP offers a collaborative and caring team environment with a strong focus on learning and development, recognition for individual contributions, and a commitment to diversity and inclusion.

Is experience with cloud platforms preferred for this role?

Yes, experience with cloud platforms and applications is considered an added advantage for candidates applying for this role.

How important is communication in this position?

Excellent verbal, written, and presentation communication skills are essential for the Associate Data Scientist role, as collaboration with industry and technology experts is a key aspect of the job.

What are the expectations regarding knowledge sharing in this position?

The Associate Data Scientist is expected to drive the adoption of newer cutting-edge technology through knowledge sessions and the application of innovations in solutions.

Does SAP offer training and development opportunities?

Yes, SAP emphasizes learning and development, ensuring that employees continually enhance their skills and seek new areas for personal development.

Is there a commitment to diversity and inclusion at SAP?

Yes, SAP is committed to a culture of inclusion, valuing the unique capabilities and qualities of each individual to create a better and more equitable workplace.

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SAP

Our purpose is to help the world run better and improve people’s lives.

Technology
Industry
10,001+
Employees
1972
Founded Year

Mission & Purpose

At SAP, our purpose is to help the world run better and improve people’s lives. Our promise is to innovate to help our customers run at their best. SAP is committed to helping every customer become a best-run business. We engineer solutions to fuel innovation, foster equality, and spread opportunity across borders and cultures. Together, with our customers and partners, we can transform industries, grow economies, lift up societies, and sustain our environment. #TheBestRu