Data Scientist
2 weeks ago
**About the company**:
Ducker Carlisle is a global consulting and M&A advisory firm with an unrivalled continuum of insights, benchmarking and strategy solutions that optimize business performance and accelerate growth. We leverage decades of experience and proprietary insights to enhance revenues, improve margins and mitigate risks our clients face in an ever-changing global economy. We strive each day to demonstrate our core values of integrity, scientific curiosity, inclusivity, collaboration and commitment.
**About the position**:
Ducker Carlisle is a leader in consulting and insights in the aftersales space. We use data‐driven analysis to address the needs of many of the world’s largest companies. Data Scientists play an integral role within our project teams. Data Scientists are responsible for using statistical methods such as forecasting, survival analysis and optimization to derive insights, which enable business decisions. As a Data Scientist at Ducker Carlisle, your work will be rigorous, but its impact will be evident. Even at the most junior level, you will have exposure to client facing opportunities. You can expect to learn, be challenged and be encouraged to grow and develop throughout your career.
**Key responsibilities**:
- Designing analyses using statistical analysis tools, database tools and data visualization tools in order to meet project goals
- Conducting analyses with appropriate statistical methods and actively utilizing hypothesis testing
- Analyzing structured and unstructured data collected using different methodologies
- Summarizing analysis findings
- Authoring client presentations and other deliverables
- Presenting findings to clients and to senior consulting staff
**Minimum requirements**:
- 2-5 years relevant work experience
- A professional demeanor
- Bachelor’s and / or Master’s in Computer Science, Engineering, Statistics (or similar programs heavy on learning programming, math and statistics)
- Education in data science course work (certifications/ programmes)
- Experience with Azure/AWS cloud platforms.
- Strong proficiency with Python to process structured (numbers in tables) and unstructured datasets (text, audio and video). Expertise with statistical analysis methods and analysis languages, e.g., Python / R
- Proficiency in mining & processing datasets from databases/APIs etc.
- Exposure to applied AI and GenAI
- Ability to use database languages SQL / MongoDB and data visualization tools such as PowerBI / Tableau
- Outstanding analytical abilities
- Excellent communication skills—both written and verbal
- Moderate skills with Microsoft Excel and PowerPoint
- Strong organizational, multi‐tasking, and time management skills
- Willingness and flexibility to work across global time zones and with multi-cultural teams
Please Note: In order to facilitate a healthy work-life balance and to build a strong ethos of team camaraderie, we offer a Hybrid work schedule to all our employees. We encourage all our staff to work from our Office in Bengaluru as often as is feasible; or at least 3 days a week.
- Ducker Carlisle is an equal opportunity employer. You will be considered without regard to race, color, national or ethnic origin, ancestry, age, sex, sexual orientation, genetic information, marital status, qualified veteran's status, disability, or any other categories protected by law._
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