
Transformational Data Strategist
1 day ago
Sigmoid empowers business innovation through data-driven insights, leveraging real-time analytics to inform strategic decision-making.
- We design and implement cutting-edge data architectures using cloud and open-source technologies.
Global leaders in data production collaborate with Sigmoid to address complex business challenges.
Sigmoid brings expertise in data engineering, predictive analytics, artificial intelligence, and DataOps to drive business outcomes.
Sigmoid has been recognized as one of the fastest-growing technology companies in North America.
This role is based in Bengaluru.
You will have the opportunity to push the boundaries of what is possible by combining technical expertise and creativity to tackle intrinsically complex business problems.
As a member of a high-performing team, you will be part of a fast-paced diverse environment that works together to energize and inspire each other.
We offer a vibrant inclusive culture of mutual respect and fun through both work and play.
Your key responsibilities will include:
- Translating broad vision and concepts into a structured data science roadmap.
- Managing end-to-end client AI & analytics programs in a dynamic environment.
- Discovering solutions hidden in large datasets and driving business results with data-based insights.
- Contributing to internal product development initiatives related to data science.
- Driving excellent project management required to deliver complex projects.
- Building scalable client engagement level processes for faster turnaround & higher accuracy.
- Defining Technology/ Strategy and Roadmap for client accounts.
- Leading team-members to ensure the project plan is being adhered to over the course of the project.
- Establishing trusted advisor relationships with the IT management at clients and internal accounts leadership.
Mandatory skills include:
- A B-Tech/M-Tech/MBA from a top-tier Institute preferably in a quantitative subject.
- 14+ years of hands-on experience in applied Machine Learning, AI and analytics.
- Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP).
- Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc.
- Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas.
- Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.
Desired skills include:
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
- Comfortable with large-scale data processing and distributed computing.
- Providing required inputs to sales, and pre-sales activities.
- A self-starter who can work well with minimal guidance.
- Excellent written and verbal communication skills.
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