Data Scientist

Talemexa; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Talemexa Pvt. Ltd. is seeking a skilled Data Scientist to analyze complex datasets and develop predictive models that generate actionable business insights. You will collaborate with engineering, product, and business teams to drive data-driven decisions.

The role involves building ML solutions, identifying trends, and improving business performance through data science techniques. Strong Python/R and SQL skills, plus ML framework experience, are essential.

Qualifications

• Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
• 2–5 years of experience in data science or analytics.
• Strong knowledge of Python, R, and SQL.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with Tableau or Power BI.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of data preprocessing and feature engineering.
• Strong analytical and problem-solving skills.

Responsibilities

• Collect, clean, process, and analyze large datasets.
• Develop predictive models and machine learning algorithms.
• Perform statistical analysis and data mining.
• Identify patterns, trends, and business opportunities.
• Build and optimize machine learning models using Python or R.
• Work with SQL databases to extract and manipulate data.
• Develop data visualizations and analytical reports.
• Collaborate with cross-functional teams to solve business problems.
• Monitor model performance and improve model accuracy.
• Present technical findings and recommendations to stakeholders.
• Apply data science techniques to improve business processes.

Skills

Python

R

SQL

Analytical thinking

Problem-solving

Data visualization

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field

Tools

Scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

SQL databases

Job description

About the Company

Talemexa Pvt. Ltd. is a technology-driven organization focused on delivering innovative solutions that help businesses streamline operations, improve productivity, and strengthen their digital capabilities. We are committed to building reliable, scalable, and user-focused solutions while creating meaningful experiences for our clients, candidates, and business partners.

At Talemexa, we value innovation, professionalism, collaboration, accountability, and continuous improvement. Our team brings together diverse skills and expertise to solve business challenges, embrace emerging technologies, and deliver quality-driven results.

We believe in fostering a collaborative work environment that encourages learning, professional development, and innovation.

About the Role

Talemexa Pvt. Ltd. is looking for a skilled and analytical Data Scientist to analyze complex datasets, develop predictive models, and generate actionable business insights. The ideal candidate will work closely with engineering, product, and business teams to identify trends, develop machine learning solutions, and improve business performance through data-driven decision-making.

Roles and Responsibilities

• Collect, clean, process, and analyze large datasets.
• Develop predictive models and machine learning algorithms.
• Perform statistical analysis and data mining.
• Identify patterns, trends, and business opportunities.
• Build and optimize machine learning models using Python or R.
• Work with SQL databases to extract and manipulate data.
• Develop data visualizations and analytical reports.
• Collaborate with cross-functional teams to solve business problems.
• Monitor model performance and improve model accuracy.
• Present technical findings and recommendations to stakeholders.
• Apply data science techniques to improve business processes.

Qualifications and Experience Required

• Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 2–5 years of experience in data science or analytics.
• Strong knowledge of Python, R, and SQL.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Knowledge of statistical modeling and predictive analytics.
• Experience with Tableau or Power BI.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of data preprocessing and feature engineering.
• Strong analytical and problem-solving skills.