Description : About the Role
We are seeking a highly analytical and technically skilled Data Scientist with strong proficiency in Python and / or R to join our data science team.
You will leverage advanced statistical methods, machine learning, and data visualization techniques to extract actionable insights from complex datasets and drive data-informed business decisions.
If you have a passion for turning data into impactful solutions and enjoy collaborating across teams, this role offers an exciting opportunity to make a significant impact.
Key Responsibilities :
- Develop, validate, and deploy predictive models and machine learning algorithms using Python and / or R to solve complex business problems.
 - Conduct exploratory data analysis, data cleaning, and feature engineering on large and diverse datasets.
 - Collaborate with cross-functional teams including product, engineering, and marketing to understand business needs and deliver data-driven solutions.
 - Build and maintain scalable data pipelines and workflows to automate data processing and model deployment.
 - Visualize data and model outputs using tools like Matplotlib, Seaborn, ggplot2, or interactive dashboards (e.g., Plotly, Shiny, Tableau).
 - Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
 - Stay current with the latest data science techniques, algorithms, and best practices.
 - Mentor junior data scientists and contribute to building a data-driven culture.
 
Requirements : Experience :
3+ years of experience as a Data Scientist or similar analytical role.Proven experience developing and deploying machine learning models using Python and / or R.Technical Skills :
Proficiency in Python (pandas, scikit-learn, TensorFlow / PyTorch, etc.) and / or R (tidyverse, caret, randomForest, etc.)Strong background in statistics, mathematics, and data mining techniques.Experience with SQL and working with relational and NoSQL databases.Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker) is a plus.Knowledge of big data technologies such as Spark or Hadoop is advantageous.Soft Skills :
Strong analytical thinking and problem-solving skills.Excellent communication skills, with the ability to explain complex technical concepts clearly.Ability to work independently and collaboratively in a fast-paced environment(ref : hirist.tech)