About the Company:
Practice Lead – Data Science Overall 15+ Years of experience in which 8+ years’ experience in Data Science practice. Looking for those who have been working with IT Service Industry and able to scale up Data Science Practice. (Technology+Presales+strategy)
Prefer Local to Hyderabad who can come for an in-person discussion
About the Role: Ability to provide Consulting, Advisory, Assessment, and Implementation services to customers in Data Science. Experience in engaging on Presales and Sales activities for Data Science Practice with a focus on Estimation, Quality proposal making, and presentation. Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting). Develop and maintain robust data processing pipelines and reproducible modelling pipelines. Explore data and communicate insights clearly. Manage a team of data scientists and senior data scientists. Analyze experimental results, iterate and refine models to create significant business impact. Build analytic systems and predictive models. Test performance of data-driven products. Experiment with new models and techniques.
Responsibilities: Ability to provide Consulting, Advisory, Assessment, and Implementation services to customers in Data Science. Experience in engaging on Presales and Sales activities for Data Science Practice with a focus on Estimation, Quality proposal making, and presentation. Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting). Develop and maintain robust data processing pipelines and reproducible modelling pipelines. Explore data and communicate insights clearly. Manage a team of data scientists and senior data scientists. Analyze experimental results, iterate and refine models to create significant business impact. Build analytic systems and predictive models. Test performance of data-driven products. Experiment with new models and techniques.
Qualifications: Bachelors Degree in Computer Science
Required Skills: Data Analytics Model development and deployment Strong forecasting experience Must have exposure to developing predictive analytics and machine learning algorithms for business applications. Good knowledge of data management and visualization techniques Hands-on experience of working across SQL, R, Python, Hadoop Artificial Intelligence and Gen AI Computer Vision Time series and forecasting AWS or Azure or GCP Cloud and CI/CD Tableau, Power BI, or D3.js Hadoop and Spark etc.
Preferred Skills:
Pay range and compensation package: Pay range or salary or compensation
Equal Opportunity Statement: Include a statement on commitment to diversity and inclusivity.
Prefer Local to Hyderabad who can come for an in-person discussion
About the Role: Ability to provide Consulting, Advisory, Assessment, and Implementation services to customers in Data Science. Experience in engaging on Presales and Sales activities for Data Science Practice with a focus on Estimation, Quality proposal making, and presentation. Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting). Develop and maintain robust data processing pipelines and reproducible modelling pipelines. Explore data and communicate insights clearly. Manage a team of data scientists and senior data scientists. Analyze experimental results, iterate and refine models to create significant business impact. Build analytic systems and predictive models. Test performance of data-driven products. Experiment with new models and techniques.
Responsibilities: Ability to provide Consulting, Advisory, Assessment, and Implementation services to customers in Data Science. Experience in engaging on Presales and Sales activities for Data Science Practice with a focus on Estimation, Quality proposal making, and presentation. Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting). Develop and maintain robust data processing pipelines and reproducible modelling pipelines. Explore data and communicate insights clearly. Manage a team of data scientists and senior data scientists. Analyze experimental results, iterate and refine models to create significant business impact. Build analytic systems and predictive models. Test performance of data-driven products. Experiment with new models and techniques.
Qualifications: Bachelors Degree in Computer Science
Required Skills: Data Analytics Model development and deployment Strong forecasting experience Must have exposure to developing predictive analytics and machine learning algorithms for business applications. Good knowledge of data management and visualization techniques Hands-on experience of working across SQL, R, Python, Hadoop Artificial Intelligence and Gen AI Computer Vision Time series and forecasting AWS or Azure or GCP Cloud and CI/CD Tableau, Power BI, or D3.js Hadoop and Spark etc.
Preferred Skills:
Pay range and compensation package: Pay range or salary or compensation
Equal Opportunity Statement: Include a statement on commitment to diversity and inclusivity.