Solutions Architect

Job Description – Manager – Solutioning
We at MathCo enable data analytics transformations for Fortune 500 organizations across the world. We empower our clients with core technological capabilities and expert intelligence, setting them on a path to achieve analytics self-sufficiency. Over the last five years, we have been consistently doubling in strength year-on-year with 1000+ experts in Data Engineering, Data Science, Visualization & UI/UX, Application Development, Consulting, Marketing & more. MathCo has won multiple awards recognizing us as a global Data and Analytics firm – we have been ranked as the Best Firm for Data Scientists by Analytics India Magazine 2023, listed on the Deloitte Technology Fast 50 India 2022, and included as a Sample Vendor in 2022 Gartner® Emerging Tech Impact Radar for Data and Analytics.50+ Fortune 500 and equivalent organizations – across industries and around the globe – trust us to power their analytical transformations.
WHAT’S IN IT FOR YOU
An exciting opportunity to be a part of the growth journey of one of the fastest growing AI & ML firms in the world – the scope to experiment, be part of big & small victories, accelerate your career, and much more.
At MathCo, we pride ourselves on a culture that provides us with the flexibility to accommodate our personal lives without compromising on the dream of building a great company.
Be at the forefront of next-gen marketing initiatives for a brand that is transforming the data engineering and data science space.
Job Description
As a Data Science Consultant in the Solutioning Team, you will be instrumental in understanding the unique data science and analytics needs of our prospects and crafting tailored solutions that showcase our technical excellence. Your responsibilities will span from delving into problem spaces, collaborating with cross- 2 functional teams, and engaging with potential clients to actively contributing to the conceptualize-design-sell-win process. As a Data Science consultant, your role will entail:
Solutioning:
Engaging with potential clients to gain a comprehensive understanding of their business challenges, actively contributing to the conceptualize-design-sell-win process.
Conducting thorough research within the problem space, building a robust understanding to design custom data and analytics strategies for the prospect.
Collaborating closely with cross-functional teams, translating client requirements, and delivering tailored data and analytics solutions.
Demonstrating proficiency in estimating and aligning a realistic end-to-end data science project roadmap, ensuring buy-in from respective internal and client stakeholders
Leading as a technical advisor during client pitch meetings, providing valuable insights and expertise to demonstrate our capabilities.
Fostering a collaborative environment by mentoring team members, promoting continuous learning, and instilling an innovation culture. Collaboration and Communication (30%)
Weaving compelling storytelling through data, translating intricate analyses into stories that align with the specific needs and aspiration of the prospective clients.
Exhibiting a keen understanding of business needs and challenges, with the ability to translate technical insights into business value, positioning yourself as a strategic partner in decision making. Articulating complex data science problems in a clear and concise manner, ensuring a shared understanding among diverse stakeholders.
Demonstrating outstanding presentation skills, conveying technical concepts with clarity and impact during pitch meetings and workshops.
Bridging the communication divide between technical and non-technical stakeholders by customizing messaging to suit diverse audiences.
Demonstrating exceptional proficiency in business communication and persuasion, effectively influencing key decision-makers with the advantages stemming from our Data Science solutions
Skills Required
Demonstrate hands-on experience in data science, machine learning, and statistical modelling, revealing a profound understanding of advanced analytical techniques.
Bring forth past experience in delivering end-to-end data science solutions, illustrating your capability to manage the entire lifecycle of a data science project.
Experience in using MS PowerPoint, Figma & similar tools for impactful presentations.
At least 2-3 years of experience in direct client engagement, understanding client needs, and translating them into impactful data science solutions, with a keen eye for technical detail
Hold a master’s or bachelor’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline.
Years of Experience - 6 to 8 years of experience

Work arrangement
No