Lead Data Scientist
1 week ago
Why would you like to join us?
TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses.
Visit at to know more about us.
What do we expect from you?
Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software.
Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks.
Complex statistical concepts are explained in a way that clients can understand and advice on strategy.
Overall data analytics strategy and business development.
Responsible for providing thought leadership and support to the team to develop best in class analytics solutions for clients.
Responsible for managing existing relationships with multiple clients in various industries.
Responsible for working closely with the senior management in developing and implementing strategic plans.
Team Development:
Manage a team of data Scientists. Lead team members, including personal development and set work direction.
Lead team members, including personal development and set work direction.
Group development by building expertise in new domains and processes.
Coaching and mentoring team members.
Responsible for productivity, utilization and quality of output of the group.
Development of training modules and imparting training to the group.
Project Delivery:
Lead analytics engagements and responsible for delivering the analytics solutions required across multiple clients & projects.
Provide thought leadership in a number of areas, including predictive modeling, customer segmentation, reporting & analysis, data processing and cleansing.
Demonstrate strong functional expertise by providing content leadership on projects.
Hands-on experience in implementing machine-learning algorithms.
Improve existing delivery processes and lead automation where applicable.
What are we looking for?
Bachelor's in Computer Science/ Engineering, Statistics, Math or any other relevant degree.
5-9 years of total experience with at least 3+ yrs. of relevant experience in data science/technical experience.
Experience on multiple modeling techniques -Logistic Regression, Linear Regression, Random Forest, Boosting, Neural Networks etc.
Hands-on experience with Python and SQL is a must.
Experience with data visualization tools like Tableau or Power BI.
Team and client management experience.
Experience of stakeholder management
Experience in working with unstructured data and text analytics.
Must have a passion for data, structured and unstructured.
Should have sound experience in data mining and data analysis.
Good presentation skills.
-Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables
-Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights.
- Excellent communication skills, both verbal and written.
-Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have)
-Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)
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