As a Data Scientist, you will apply your strategic and analytical skills to major company challenges. You will team with world-class professionals to identify actionable insights that ultimately impact the bottom line. We work in a space that looks deeply into emerging fraud trends and the business enablement opportunities that help the business in fueling growth and strategic decisions. You will be able do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation with a global team that is multi-disciplinary with broad spectrum of industry experiences, deep analytical and quantitative expertise.
Responsibilities :
- Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustness
- Work closely with other functional teams to integrate implemented systems into the SaaS platform
- Create use cases with respect to domain for solving a business problem.
- Research and test novel machine learning approaches for analyzing large-scale distributed computing applications.
- Suggest innovative and creative concepts and ideas that would improve the overall platform
- Strong understanding of the most recent trends around telecom industry and adoption.
Requirements :
- Extensive experience handling data analytics in the telecom industry or on telecom products.
- Exposure or Experience in building Recommendation engine in a large scale.
- In-depth working knowledge beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques.
- Experience on end to end ML models deployment in production.
- Experience in working on modeling graph structures related to spatiotemporal systems.
- Keras, TensorFlow, PyTorch. And knowledge of Big Data tools and environment.
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization.
- Knowledge of MySQL/No SQL is an added advantage.
Required Qualifications :
- 3 - 4 years' experience in analytics or program management
- 3 - 4 Proficiency using SQL and querying relational databases
- 3 - 4 Experience in at least one statistical programming language (SAS, R, Python)
- 3 years experience with project/program management
Cytel is a multinational statistical software developer and contract research organization, headquartered in Cambridge, Massachusetts, USA. Cytel provides clinical trial design, implementation services, and statistical products primarily for the biotech and pharmaceutical development markets.
Cytel specializes in adaptive trials – a type of randomized clinical trial that allows modifications of ongoing trials while aiming to preserve the statistical validity and integrity of the study. Based on either frequentist or Bayesian statistics, adaptive trial designs are now widely accepted by government regulatory agencies including the United States Food and Drug Administration (FDA), European Medicines Agency (EMA), and Medicines and Healthcare products Regulatory Agency (MHRA) in early and later stage clinical studies.
As of January 2014, the company claims 25 large biopharmaceutical companies as users of its software to design, simulate, and analyze trials.
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