Delivery Manager

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in-end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

About the Role:

You will work on a broad range of cutting-edge data science and machine learning problems across avariety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you.

Role: Delivery Manager

Mandate Skills & Competencies:

● Lead and manage multiple data science projects from initiation to completion, ensuring they align with business objectives and deliver value by demonstrating techno-functional consulting and stakeholder management capabilities in collaboration with data science SMEs and teams.

● Collaborate with key stakeholders to understand business needs, gather requirements, and ensure alignment with project goals.

● Guide and mentor a team of data scientists, analysts, and/or engineers, fostering a collaborative and innovative work environment.

● Monitor project performance, analyze metrics, and report progress to senior management and stakeholders, ensuring efficient use of resources and delivering within budget

Desired Skills:

● 6-7 years of overall experience with 3+ years in data analytics execution.
● Bachelor’s Degree (BE / BTech - CS) required and MBA preferred but not mandatory.
● Strong organizational and multitasking skills with the ability to balance multiple priorities.
● Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs.
● Ability to effectively communicate and manage relationships with senior management, otherdepartments and partners.
● Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.