Tiger Analytics

Director - Data Science Consulting

Tiger Analytics$130K — $180K *
Business Services
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of experience in Data Science or Applied ML with leadership proficiency.
  • Experience with traditional ML models and frameworks like Scikit-learn, TensorFlow, and Keras.
  • Strong expertise in programming with Python and SQL, and proficiency in statistical modeling.
  • Familiarity with data orchestration tools and workflows including Airflow and Git-based CI/CD.
  • Knowledge of cloud data and ML platforms such as AWS, GCP, and Azure.
  • Excellent communication skills to influence and engage Director+ stakeholders.

Responsibilities

  • Drive end-to-end data science projects from problem definition to impact measurement.
  • Develop and scale statistical and machine learning models for various applications.
  • Collaborate with cross-functional teams to define success metrics and product roadmaps.
  • Design and maintain production ML pipelines using modern data tools.
  • Translate client business needs into analytical solution designs.
  • Present insights to business leaders, highlighting impact and value.
  • Manage analytics projects, coordinating across global and internal teams.

Benefits

  • Significant career development opportunities as the company expands.
  • Unique chance to work in a small, fast-growing, and entrepreneurial environment with high individual responsibility.
Full Job Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:
  • Own and drive end-to-end data science workstreams from problem definition to production and impact measurement.
  • Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms.
  • Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps.
  • Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling.
  • Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
  • Present insights and solutions to business leaders, demonstrating impact and value.
  • Manage analytics projects and coordinate with global client and Tiger teams.
  • Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
  • Partner with technical teams to select appropriate analytical methods and generate actionable insights.
  • Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements
  • 15+ years of professional experience in Data Science, Applied ML, or Advanced Analytics, with leadership at scale..
  • Must have experience working on traditional ML Models. Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
  • Strong hands-on expertise in Python, SQL, and statistical modeling.
  • Familiarity with data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran).
  • Strong understanding of cloud-native data and ML platforms (AWS, GCP, Azure).
  • Excellent communication skills with the ability to influence Director+ stakeholders.
  • Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness.
  • Ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards.
  • Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches.
  • A solid understanding of statistical and machine-learning algorithms is a plus.
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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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