Senior Data Scientist fmd
Senior Data Scientist fmd
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Job Description
Position Description
As a Senior Data Scientist at Cinemo you will drive datadriven decisionmaking through crossfunctional collaboration on several topics. This role requires a deep understanding of statistics machine learning and the ability to communicate results and insights to a range of audiences. You will play a critical role in analyzing complex datasets developing scalable data pipelines and applying Bayesian approaches to extract actionable insights.
This role will work closely with engineers product managers and business leaders to improve AI models optimize product features and enhance organizational data capabilities. If you have a passion for solving challenging problems at the intersection of data science AI and customer engagement wed love to hear from you!
In this role you will:
- Develop and optimize ETL pipelines ensuring highquality reliable data
- Design and conduct statistical studies and data analysis to evaluate the impact of internally adopted AI tools research and engineering results and to create interpretable insights and make datadriven decisions
- Curate and maintain datasets to support the development evaluation and deployment of AI models
- Provide technical leadership mentorship and guidance to the AI team and internal research projects fostering a culture of innovation and excellence
- Partner with machine learning engineers product managers and executives to translate data insights into tangible business and product improvements
- Develop scalable algorithms and automated data processing frameworks to optimize analytics workflows
What you will need to succeed:
- PhD or MS in Computer Science Data Science Statistics or a related quantitative field with scientific background and with 5 years of relevant experience
- Strong expertise in data science Bayesian modeling probabilistic programming and uncertainty quantification
- Handson experience with neural network analysis deep learning frameworks (e.g. TensorFlow PyTorch) and model evaluation
- Proficiency in Python R SQL and data engineering tools such as Spark or Apache Beam and experience in designing executing and analyzing A/B tests
- Ability to develop and optimize ETL pipelines for largescale data processing
- Solid understanding of causal inference time series forecasting and statistical modeling
- Handson experience with cloud computing platforms (e.g. AWS GCP Azure) and big data tools
- Knowledge in natural language processing (NLP) reinforcement learning and graph analytics is preferable
Employment Type
Full Time
