Experienced Full Stack Data Scientist Intern – Customer and Competitive Market Intelligence

Are you a highly motivated and analytical individual looking to apply your skills in data science to drive business growth and innovation? Do you have a passion for working with large datasets, developing predictive models, and creating data-driven insights? Look no further than this exciting opportunity to join blithequark's Customer and Competitive Market Intelligence (CMI) team as a Data Scientist Intern.

About blithequark

blithequark is a leading global technology company that provides innovative solutions to businesses of all sizes. With a strong focus on customer satisfaction, we strive to deliver world-class experiences that drive business success. Our CMI team is at the forefront of this effort, using data science and analytics to inform business decisions and drive growth.

The SAP Internship Experience Program

As a participant in blithequark's SAP Internship Experience Program, you will be part of a global community of students and young professionals who are passionate about technology and innovation. Our program provides a unique opportunity to gain hands-on experience, develop your skills, and build a network of contacts that will last a lifetime.

Job Summary

As a Data Scientist Intern in the CMI group, you will work closely with cross-functional teams to gather requirements for data integrations, develop and implement project plans for data engineering, analysis, and visualization, and train and support teams on data usage and results interpretation best practices. You will also develop and maintain data engineering and analytic processes to support XM program targeting, analysis requirements, and program expansion.

Key Responsibilities

* Collaborate with cross-functional teams to gather requirements for data integrations

• Develop and implement project plans for data engineering, analysis, and visualization based on the needs of internal stakeholders
• Train and support teams on data usage and results interpretation best practices
• Develop and maintain data engineering and analytic processes to support XM program targeting, analysis requirements, and program expansion
• Run statistical analysis using methods like correlation, ANOVA, regression
• Apply Large Language Models (LLMs), including prompt engineering, to synthesize key insights
• Work with transformer-based models (e.g., BERT, GPT) for natural language processing tasks
• Troubleshoot technical issues related to data and systems in the SAP data warehouse and data lake environments
• Identify areas for improvement and implement changes to enhance the efficiency and functionality of data engineering and analysis processes

What You Bring

* Bachelor's or Master's degree in an analytical field like Data Science, Computer Science, Mathematics/Statistics, Business Analytics, Economics, Marketing, Finance, or Social Science

• Prior experience in data mining, advanced data manipulation, statistical analysis, and LLM processing, working with cloud-based computing platforms and big data tools
• Technical Skills:

+ Proficient in data engineering techniques + Skilled in topic modeling and sentiment analysis of unstructured data + Experienced in LLM prompt engineering to generate key insights from unstructured data + Competence in statistical techniques such as correlation, ANOVA, and regression + Fluency in Python, SQL, Excel, and PowerPoint + Experience with Databricks is helpful

• Problem-Solving: Strong problem-solving skills, including the ability to undertake analyses, synthesize findings/recommendations, articulate a storyline, and create and conduct high-impact presentations
• Independence: Ability to work independently and manage multiple projects simultaneously
• Interpersonal Skills: Superior interpersonal skills; ability to build relationships across SAP functional areas, geographies, and hierarchical levels
• Industry Knowledge: Base understanding of the software industry and its competitive landscape
• Flexibility: Highest level of flexibility, integrity, and confidentiality

Meet Your Team

As a member of the CMI team, you will have the opportunity to work with a diverse group of professionals who are passionate about data science and analytics. Our team is dedicated to delivering high-quality insights and recommendations that drive business growth and innovation.

We Win with Inclusion

At blithequark, we believe that diversity and inclusion are essential to our success. We strive to create a culture that is inclusive, supportive, and empowering, where everyone feels valued and respected. Our commitment to diversity and inclusion is reflected in our hiring practices, our employee resource groups, and our community engagement initiatives.

Compensation and Benefits

As a Data Scientist Intern at blithequark, you will receive a competitive salary and benefits package, including:

• Annualized compensation range: $15 - $62 (USD)
• Variable incentive target: 10% - 20% of base salary
• Comprehensive health insurance
• 401(k) matching program
• Paid time off and holidays
• Professional development opportunities

How to Apply

If you are a motivated and analytical individual who is passionate about data science and analytics, we encourage you to apply for this exciting opportunity to join blithequark's CMI team as a Data Scientist Intern. Please submit your resume, cover letter, and any relevant work samples or projects to [[email protected]](mailto:[email protected]).

Equal Employment Opportunity

blithequark is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to providing a work environment that is inclusive, supportive, and empowering, where everyone feels valued and respected.

Accessibility Accommodations

If you require accessibility accommodations to apply for this position or to navigate our website, please contact our Recruiting Operations Team at [[email protected]](mailto:[email protected]).

SAP Employee Referral Program

If you are a current SAP employee, please note that only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Apply for this job