Data Scientist
3 weeks ago
A Data Science professional with over 5 years of hands-on experience in data acquisition, cleansing, and organization.
Skilled in working with both technical and non-technical stakeholders, with expertise in data visualization, machine learning, and deep learning algorithms using Python and R.
Proficient in creating predictive models, anomaly detection systems, and automation of data-driven processes.
Experienced in working with a variety of databases, developing APIs, and deploying applications using CI/CD pipelines.
Strong ability to develop impactful insights through data analysis and visualization tools like Tableau, contributing to improved business outcomes.
Should have experience in leading a team of Data Scientists to drive project success and mentor junior team members.
Key Skills : Python, R, Machine Learning, Deep Learning, Data Visualization, FastAPI, SQL, Docker, Azure, Tableau, Shiny, ElasticSearch, MongoDB.
Job Description :
Responsibilities :
- Identify valuable data sources and automate collection processes
- Undertake pre-processing of structured and unstructured data
- Analyse large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modelling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements and skills :
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g., statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred
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