Data Scientist - R/Python

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.

Responsibilities

Job Description :

• 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
  
  

(ref:hirist.tech)