Data Scientist
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Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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Job Title:Data Scientist
Location:Remote/Hybrid/Office - e.g. Mumbai Maharashtra
Experience Level:5-10 years
About the Role:
We are seeking an experienced Data Scientist to drive data-driven decision-making through advanced analytics machine learning and generative AI. You will analyze complex datasets build predictive models and leverage big data technologies to deliver actionable insights for enterprise solutions.
Key Responsibilities:
Perform data manipulation querying and in-depth analysis using Python and R.
Utilize libraries such as Pandas NumPy and Scikit-Learn for data processing and modeling.
Build train and deploy machine learning models with TensorFlow and PyTorch focusing on regression classification clustering and recommendation systems.
Handle large-scale datasets with Spark applying distributed computing and parallel processing for efficient storage processing and analysis.
Develop generative AI solutions and predictive analytics to generate data-driven predictions and insights.
Collaborate with cross-functional teams to implement scalable enterprise-level data solutions.
Required Skills and Qualifications:
Proficiency in Python SQL Machine Learning and Deep Learning.
Mandatory expertise in Generative AI.
Hands-on experience with data analysis tools: Python R Pandas NumPy Scikit-Learn.
Expertise in ML frameworks: TensorFlow PyTorch.
Strong knowledge of big data technologies: Spark distributed computing.
5-10 years of relevant experience in data science predictive analytics and model deployment.
Excellent problem-solving skills and ability to communicate insights effectively.
Job Title:Data Scientist
Location:Remote/Hybrid/Office - e.g. Mumbai Maharashtra
Experience Level:5-10 years
About the Role:
We are seeking an experienced Data Scientist to drive data-driven decision-making through advanced analytics machine learning and generative AI. You will analyze complex datasets build predictive models and leverage big data technologies to deliver actionable insights for enterprise solutions.
Key Responsibilities:
Perform data manipulation querying and in-depth analysis using Python and R.
Utilize libraries such as Pandas NumPy and Scikit-Learn for data processing and modeling.
Build train and deploy machine learning models with TensorFlow and PyTorch focusing on regression classification clustering and recommendation systems.
Handle large-scale datasets with Spark applying distributed computing and parallel processing for efficient storage processing and analysis.
Develop generative AI solutions and predictive analytics to generate data-driven predictions and insights.
Collaborate with cross-functional teams to implement scalable enterprise-level data solutions.
Required Skills and Qualifications:
Proficiency in Python SQL Machine Learning and Deep Learning.
Mandatory expertise in Generative AI.
Hands-on experience with data analysis tools: Python R Pandas NumPy Scikit-Learn.
Expertise in ML frameworks: TensorFlow PyTorch.
Strong knowledge of big data technologies: Spark distributed computing.
5-10 years of relevant experience in data science predictive analytics and model deployment.
Excellent problem-solving skills and ability to communicate insights effectively.
Required Skills:
PYTHONSQLTENSORFLOWPYTORCHNUMPY
