Require a Analyst Data Science in Gurgaon

TestHiring

Job Location:

Gurgaon - India

Monthly Salary: K 10 - 10

Experience Required: 2-5years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Collect clean and preprocess large-scale structured and unstructured data from diverse sources.
Develop and deploy predictive models statistical analyses and machine learning algorithms to solve business problems.
Create interactive dashboards and visualizations using tools such as Tableau Power BI or Python libraries (e.g. Matplotlib Seaborn).
Collaborate with engineering product and business teams to define key performance indicators (KPIs) and measure impact.
Conduct A/B testing and experimental design to evaluate product features and business strategies.
Document analytical processes model assumptions and results for reproducibility and stakeholder communication.
Stay updated with emerging trends in data science AI and big data technologies to continuously improve methodologies.
Support data governance practices by ensuring data quality integrity and compliance with organizational standards.

Requirements

Bachelors or Masters degree in Computer Science Statistics Mathematics Engineering or a related quantitative field.
25 years of hands-on experience in data analysis data science or a similar role within a technology-driven environment.
Proficiency in programming languages such as Python R or SQL for data manipulation and analysis.
Experience with machine learning frameworks (e.g. Scikit-learn TensorFlow PyTorch) and statistical modeling techniques.
Strong expertise in data visualization tools including Tableau Power BI or similar platforms.
Familiarity with cloud platforms (AWS Google Cloud or Azure) and big data technologies (e.g. Spark Hadoop) is a plus.
Excellent problem-solving skills attention to detail and the ability to communicate complex findings to non-technical stakeholders.
Demonstrated ability to work independently and collaboratively in agile fast-paced environments.

Required Skills:

Qualification: Bachelors Masters Degree Experience: Freshers/ Experienced Bachelors or Masters Degree in a relevant field Open to freshers as well as experienced professionals Strong communication and interpersonal skills Ability to adapt to changing priorities and work in a team-oriented environment Proficiency in standard office software and tools

Collect clean and preprocess large-scale structured and unstructured data from diverse sources.Develop and deploy predictive models statistical analyses and machine learning algorithms to solve business problems.Create interactive dashboards and visualizations using tools such as Tableau Power BI or...

Collect clean and preprocess large-scale structured and unstructured data from diverse sources.
Develop and deploy predictive models statistical analyses and machine learning algorithms to solve business problems.
Create interactive dashboards and visualizations using tools such as Tableau Power BI or Python libraries (e.g. Matplotlib Seaborn).
Collaborate with engineering product and business teams to define key performance indicators (KPIs) and measure impact.
Conduct A/B testing and experimental design to evaluate product features and business strategies.
Document analytical processes model assumptions and results for reproducibility and stakeholder communication.
Stay updated with emerging trends in data science AI and big data technologies to continuously improve methodologies.
Support data governance practices by ensuring data quality integrity and compliance with organizational standards.

Requirements

Bachelors or Masters degree in Computer Science Statistics Mathematics Engineering or a related quantitative field.
25 years of hands-on experience in data analysis data science or a similar role within a technology-driven environment.
Proficiency in programming languages such as Python R or SQL for data manipulation and analysis.
Experience with machine learning frameworks (e.g. Scikit-learn TensorFlow PyTorch) and statistical modeling techniques.
Strong expertise in data visualization tools including Tableau Power BI or similar platforms.
Familiarity with cloud platforms (AWS Google Cloud or Azure) and big data technologies (e.g. Spark Hadoop) is a plus.
Excellent problem-solving skills attention to detail and the ability to communicate complex findings to non-technical stakeholders.
Demonstrated ability to work independently and collaboratively in agile fast-paced environments.

Required Skills: