Tiger Analytics

DS/AI Tech Leader

Tiger Analytics$130K — $180K *
Enterprise Technology
15+ years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, or related field.
  • 18 to 20 years of extensive experience in Data Science and AI.
  • Proven leadership experience in the AI & ML services industry.
  • Strong track record in business development and growth initiatives.
  • Experience in developing and deploying enterprise-level data science solutions.
  • Excellent communication and interpersonal skills.
  • Ability to collaborate in a fast-paced environment.

Responsibilities

  • Identify and pursue new business opportunities in AI & ML.
  • Develop strategies to expand client base and market presence.
  • Build relationships with key stakeholders and clients.
  • Collaborate with sales and marketing to craft value propositions.
  • Lead design, development, and deployment of data science solutions.
  • Ensure solutions align with business objectives and are scalable.
  • Mentor and guide data science and engineering teams.

Benefits

  • Significant career development opportunities.
  • Dynamic and entrepreneurial work environment.
  • High degree of individual responsibility.
Full Job Description
We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.

Key Responsibilities:

Business Development & Growth:
  • Identify and pursue new business opportunities in the AI & 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.


Technical Leadership:
  • 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 & ML technologies and integrate them into our offerings.
  • Mentor and guide a team of data scientists and engineers to achieve project goals.


Strategic Planning:
  • 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.


Client Engagement:
  • 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.


Requirements
• 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 & 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.

Preferred Skills:
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Proficiency in programming languages such as Python, R, and SQL.
• Familiarity with big data technologies (Hadoop, Spark).
• Strong analytical and problem-solving skills.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million

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