DS/AI Tech Leader

Tiger AnalyticsTiger Analytics·Remote(United States)
Software Development
GTMExcel

WFA Digital Insight

As the demand for data science and AI solutions continues to surge, companies like Tiger Analytics are at the forefront of innovation. With the global AI market expected to reach

90 billion by 2027, the need for skilled DS/AI Tech Leaders has never been more pressing. This role offers a unique opportunity for experienced professionals to drive business development and growth initiatives in the AI and ML space. Candidates should be well-versed in GTM strategies, Excel, and possess a deep understanding of DS methodologies and AI technology. Before applying, it's essential to consider the high level of technical expertise and business acumen required for this position.

Job Description

About the Role

The DS/AI Tech Leader will play a pivotal role in driving business development and growth initiatives at Tiger Analytics. As a seasoned data science professional, you will co-own business development and growth initiatives from a technical perspective, designing strategy and supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities and solutions in AI, ML, and AI Engineering across industries and domains. You will be working closely with cross-functional teams, including sales, marketing, and product development, to identify new business opportunities and expand our client base.

The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep and fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers. You will be responsible for leading the design, development, and deployment of enterprise-level data science solutions, ensuring they are scalable, robust, and aligned with business objectives.

Tiger Analytics is a pioneering company in the AI and analytics space, developing bespoke solutions powered by data and technology for several Fortune 100 companies. With offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce, we offer a dynamic and challenging entrepreneurial environment with a high degree of individual responsibility.

What You Will Do

  • Identify and pursue new business opportunities in the AI and ML space
  • Develop and execute strategies to expand our client base and market presence
  • Build and maintain strong relationships with key stakeholders and clients
  • Collaborate with sales and marketing teams to create compelling value propositions and proposals
  • Lead the design, development, and deployment of enterprise-level data science solutions
  • Ensure solutions are scalable, robust, and aligned with business objectives
  • Stay abreast of the latest advancements in AI and ML technologies and integrate them into our offerings
  • Mentor and guide a team of data scientists and engineers to achieve project goals
  • Develop and implement a strategic roadmap for data science initiatives
  • Align data science projects with overall business strategy and client needs
  • Drive innovation and continuous improvement in data science methodologies and practices
  • Work closely with clients to understand their business challenges and requirements
  • Translate client needs into actionable data science solutions
  • Present findings, insights, and recommendations to clients in a clear and compelling manner

What We Are Looking For

  • Advanced degree (Ph.D. or Master’s) in Data Science, Computer Science, Statistics, or a related field
  • 18 to 20 years of extensive experience in the Data Science and AI space
  • Proven experience in a leadership role within the AI and ML services industry
  • Strong track record of driving business development and growth initiatives
  • Extensive experience in developing and deploying enterprise-level data science solutions
  • Excellent communication and interpersonal skills
  • Ability to work collaboratively in a fast-paced, dynamic environment
  • Experience with cloud platforms (AWS, Azure, Google Cloud)
  • Proficiency in programming languages such as Python, R, and SQL

Nice to Have

  • Familiarity with big data technologies (Hadoop, Spark)
  • Experience with data visualization tools
  • Knowledge of machine learning algorithms and deep learning techniques

Benefits and Perks

  • Opportunity for significant career development in a fast-growing and challenging entrepreneurial environment
  • Competitive compensation package
  • Comprehensive health insurance
  • Flexible PTO policy
  • Remote work stipend
  • Access to cutting-edge technologies and tools
  • Collaborative and dynamic work environment

How to Stand Out

  • Develop a strong portfolio showcasing your experience in data science and AI, including successful projects and case studies
  • Stay up-to-date with the latest advancements in AI and ML technologies, and be prepared to discuss their applications in business development and growth initiatives
  • Highlight your ability to communicate complex technical concepts to non-technical stakeholders, including clients and cross-functional teams
  • Emphasize your experience in leading teams and mentoring junior data scientists and engineers
  • Be prepared to discuss your approach to driving innovation and continuous improvement in data science methodologies and practices
  • Research Tiger Analytics and their clients to understand their business challenges and requirements, and be prepared to discuss how you can contribute to their success

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