Practice Lead - Data Science

As a Practice Lead- Data Science, you will play a pivotal role in driving the success of the data science initiatives, leading multi-disciplinary teams and delivering a wide range of client, internal, and research and development projects. Your expertise in visualization tools, machine learning platforms, and emerging technologies will be instrumental in data-driven decision-making and delivering innovative solutions to our clients. As Practice Lead-Data Science you will oversee the practice’s financial performance, including budgeting, forecasting, and financial planning, and ensure that we are meeting customer expectations and staying up to date with industry trends. Additionally, you will be responsible for leading and mentoring a team of data scientists and analysts.

Experience: 8+ Years

Responsibilities:

• Develop a vision and establish strategic goals for the Data Science practice. Drive excellence in multiple areas, including but not limited to web app development (Angular, Vue), data visualization (Spotfire, Tableau, Power BI), data engineering (Dataiku, Python, R), automation (UiPath, Microsoft Power Apps, shell scripting), and chatbots (AWS Lex and Alexa).
• Manage global service delivery projects, ensuring on-time, and on-budget delivery of high-quality software.
• Stay updated with industry trends in Data Analytics, recommending innovative approaches and best practices.
• Build and lead the analytics team, ensuring optimal resource allocation, workload distribution, and identifying skill gaps.
• Provide guidance, mentorship, and performance feedback to the team members, fostering a high-performance culture.
• Engage in pre-sales activities, collaborating with sales, pre-sales, and business development teams to drive revenue growth.
• Support the Sales and Marketing teams in writing proposals, RFI/RFPs, creating sales collateral, and identifying upsell and cross-sell opportunities.
• Monitor the financial performance of the practice, advising senior management on the implementation of new technologies and their possible impact.
• Keep abreast of emerging technology trends and assess their possible impact on the organization’s technological platforms.
• Cultivate relationships with key stakeholders, mentor team members on technical best practices, and identify growth opportunities for the practice.

Ideal Candidate:

• A Bachelor’s or Master’s Degree in computer science, engineering, or a related field.
• Minimum 8 years of experience, including 2 years in technology leadership roles, managing complex technology platforms and teams.
• Extensive experience in leading data analytics and visualization teams, using analytics and visualization tools like Spotfire, Tableau, Power BI, and ML platforms.
• Solid background in data engineering, including proficiency in tools like Dataiku, Python, R etc.
• Experience in designing modern and scalable architectures on cloud platforms such as AWS and Azure.
• Strong leadership, mentoring, and project management skills, with a track record of inspiring talent, delivering successful projects, and excellent client-facing skills.
• Ability to establish and implement long-term technology strategies aligned with the company’s business strategy.
• Proven ability to grow a business in collaboration with Sales and Marketing teams.
• Excellent problem-solving and communication skills.