About
Are you a qualified and proficient Data Scientist with the proven ability to drive business growth & operational efficiency? The company needs your skills to develop and deliver diverse data products across the company—including, but not limited to, recommendation engines, predictive models, business-logic automation, and machine learning.
You get to play a critical role in shaping the growth trajectory of the company and support the development of their cutting-edge, next-gen analytics solutions & services.
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Responsibilities
- Report to the Chief Technical Officer and apply data mining & statistical analysis techniques like hypothesis testing, segmentation, and modelling to analyze large volume data in order to drive business optimization & enhance product development, marketing techniques, and business strategies.
- Acquire data from primary or secondary sources and generate business insights relevant to the company's business goals.
- Maintain complex data models, reporting systems, data automation systems, dashboards, and performance metrics that support key business decisions.
- Use emerging technologies such as machine learning & AI and advanced programming to derive insights from large datasets.
- Apply data science techniques to multimodal datasets, including structured, unstructured, and audio/speech data, to extract insights and improve model performance.
- Develop, evaluate, and optimize models related to speech recognition, natural language processing (NLP), and translation, supporting use cases such as transcription, language understanding, and multilingual analytics.
- Co-develop research plans, implement models, and monitor outcomes by collaborating with different departments and business stakeholders to help shape the research approach and potential output.
- Conduct market/industry characteristics analysis, competitor assessment, trend analysis, demand forecasting, regulatory reviews, demographic assessment, macro-economic analysis, and benchmarking for datasets received.
- Leverage data received from the data analytics team and use it in conjunction with current organizational dynamics to develop transformational business intelligence solutions.
- Work with content developers to translate research insights into compelling stories for interpretation of analyses and data visualization.
Qualifications
- Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field.
- Minimum 6 years of experience in executing complex research projects.
- At least 3 years of experience in using data science to conduct hypothesis-driven research, preferably for AI or in the analytics industry.
- Hands-on experience working with audio, speech, and language datasets, including exposure to speech recognition, speech processing, NLP, or machine translation models.
Skills and attributes for success
- A commitment to research.
- A highly data-focused and investigative approach to problem-solving.
- In-depth domain and market knowledge.
