Full Job DescriptionCompany Description
Company profile: (website: www.atyeti.com)
Atyeti is a Global Managed Service provider, winner of the Inc 500 Award for fastest growing IT companies, with offices in US, UK, Switzerland, Singapore, Hong Kong, Malaysia and India.
We own and execute end to end projects in the Investment Banking world with clients such as Credit Suisse, Goldman Sachs, Bank Of America, CIMB, HSBC to name a few, for more information please visit www.atyeti.com. it is a full-time job with Atyeti-India*
Atyeti IT Services Pvt Ltd is a global information technology solutions and services provider. We pride ourselves in delivering quantifiable value to our customers and consistently exceeding their expectations. We achieve this by focusing on industry verticals where we have strong domain expertise. We are located in US, Singapore, Hong Kong, Malaysia, Pune, Hyderabad. Atyeti’s unwavering commitment and focus to understand client needs and passion to execute allows us in partnering with our clients to increase their business performance, stay competitive and adapt to constant change. We are a 600+ employee company globally.
Job Description
Description:
Atyeti is looking for a lead data scientist to help build and lead our teams throughout the regulatory technology space for our financial services clients. Regulatory Technology is a growing sector, core to our business and ensures regulatory compliance through data analysis across global jurisdictions. This is a pivotal leadership roll requiring you to provide on-the-ground leadership to your team, solutions to our stakeholders, and ensure the growth and stability of your team.
What You’ll Do:
Work with your team to produce excellent solutions using best practices and SOTA tools and infrastructure
Mentor Associate and Junior level data professionals and support their advancement
Play a key role in migration to a best-practices cloud infrastructure
Ensure quality development and analytics through code and analytic reviews
Provide Solution Architecture services and draft technical requirements to new projects and assist in team building
Work with machine learning engineers to help craft appropriate and effective solutions
Share in leadership of our company-wide data science group and help drive cross-engagement initiatives
Work with data engineers to ensure robust, maintainable data pipelines are designed which conform to company standards of data validation and data providence, meet performance requirements and operate efficiently
Provide technical support and guidance to day-to-day team members, such as BA/PMs and product owners, to ensure long term progress and success
What You Have:
Strong python programming experience at a developer level5-10 years total experience with 3+ years experience leading a data science team to include: data engineering, data analysis, machine learning and data visualizationExcellent skills communicating complex technical topics with non-technical stake holdersExperience in data science project planning, orchestration, code and analytic reviewsHistory of managing several major projects from planning to deploymentStrong background in statistics and ML concepts, including proper support for accuracy evaluation, proper testing procedure and ground truth establishment, distribution testingKnowledge of various data set types including document, relational, graph, and timeseriesExpert level SQL and RegexLarge scale data experiencePytorch, Pyspark at scale, distributed OLAP databases (Redshift, Snowflake, etc), ML libraries such as sklearn
Bonus:
Regulatory experienceExperience with software development outside of python (.net, web programming)Data extraction experience (OCR, Web Scraping)Extensive deep learning architecture
Additional Information
Nice to Have:
Good Interpersonal skills with experience of working with people spread across locations / time-zones
Good written and oral communication skills.
Experience of working in Investment Banking Technology
Should be able to work independently and within team
Ability to work effectively under pressure, challenging deadlines
Notice Period: Immediate to 30 days max