16 Renous Extenserve Jobs
3-10 years
Data Scientist - Artificial Intelligence/Machine Learning (3-10 yrs)
Renous Extenserve
posted 17hr ago
Key skills for the job
Job Title : Data Scientist
Location : Remote / Hybrid
Experience : 3+Years
Salary : Best in the Industry
Job type :Contractual
About the Role :
We are looking for a passionate Data Scientist to join our dynamic team. The ideal candidate will have strong expertise in data analytics, machine learning, and statistical modeling to drive data-driven decisions. You will work closely with cross-functional teams to solve business challenges, build predictive models, and uncover insights from structured and unstructured data.
Key Responsibilities :
- Develop and deploy machine learning models to solve business problems.
- Use statistical analysis and predictive modeling to derive actionable insights.
- Work with large datasets and perform data cleaning, processing, and transformation
- Design and implement data-driven solutions to optimize business processes.
- Develop and maintain dashboards, reports, and visualization tools using Python, R, or Tableau.
- Collaborate with engineering teams to deploy ML models into production.
- Research and apply new machine learning techniques to improve model accuracy.
- Interpret complex data and present findings to stakeholders in a clear and concise manner- .
Key Skills Required :
- Strong expertise in Python / R / SQL for data analysis and model development.
- Experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP)
- Hands-on experience with TensorFlow, Py Torch, Scikit-Learn, or similar frameworks
- Knowledge of Big Data technologies like Hadoop, Spark, or Databricks (preferred).
- Strong background in mathematics, statistics, and probability
- Experience working with cloud platforms (AWS, GCP, or Azure) for data science applications.
- Ability to communicate technical insights effectively to non-technical stakeholders- .
- Experience with /B testing and statistical hypothesis testing
Preferred Qualifications :
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or related fields
- Experience with Time Series Forecasting, Recommendation Systems, or Computer Vision is a plus.
- Prior experience in banking, e-commerce, healthcare, or fintech domains is preferred.
Why Join Us?
- Work with cutting-edge AI/ML technologies.
- Opportunity to work on challenging real-world problems
- Collaborative and innovative work culture.
- Competitive salary and growth opportunities
- Flexible work environment and work-from-home options
Functional Areas: Other
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