Analytics Lead/Manager

About Us:

Role: Lead/Manager

Overview:

Key Responsibilities:

• Self-Driven Initiative:

  Take ownership of projects and drive them to successful completion with minimal supervision, demonstrating a proactive and entrepreneurial mindset.

• Stakeholder Communication:

  Present insights, findings, and strategic recommendations to senior management and key stakeholders, fostering a data-driven decision-making culture.

• Executive Collaboration:

  Report directly to the founders and collaborate with other senior leaders to shape the company's direction and achieve our ambitious goals.

• Innovation & Problem-Solving:

  Foster a culture of innovative thinking and creative problem-solving to tackle complex challenges and drive continuous improvement.

• AI Research & Development:

  Oversee AI research and development initiatives, ensuring the integration of cutting-edge technologies and methodologies.

• Data Management:

  Ensure effective data collection, management, and analysis to support AI-driven decision-making and product development.

Required Skills and Qualifications:

• Bachelor's degree from a Tier 1 institution or an MBA from a recognized institution.
• Proven experience in a managerial role, preferably in a startup environment.
• Strong leadership and team management skills.
• Excellent strategic thinking and problem-solving abilities.
• Exceptional communication and interpersonal skills.
• Ability to thrive in a fast-paced, dynamic environment.
• Entrepreneurial mindset with a passion for innovation and growth.
• Extensive experience with AI technologies, machine learning, and data analytics.
• Proficiency in programming languages such as Python, R, or similar.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of data governance, privacy, and security best practices.

Technical Skills:

• Machine Learning Frameworks:

  Expertise in frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Data Processing:

  Proficiency in using tools like Apache Kafka, Apache Flink, or Apache Beam for real-time data processing.

• Database Management:

  Experience with SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, or Cassandra.

• Big Data Technologies:

  Hands-on experience with Hadoop, Spark, Hive, or similar big data technologies.

• Cloud Computing:

  Strong knowledge of cloud services and infrastructure, including AWS (S3, EC2, SageMaker), Google Cloud (BigQuery, Dataflow), or Azure (Data Lake, Machine Learning).

• DevOps and MLOps:

  Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and orchestration tools for deploying and managing machine learning models.

• Data Visualization:

  Advanced skills in data visualization tools such as Tableau, Power BI, or D3.js to create insightful and interactive dashboards.

• Natural Language Processing (NLP):

  Experience with NLP techniques and tools like NLTK, SpaCy, or BERT for text analysis and processing.

• Large Language Models (LLMs):

  Proficiency in working with LLMs such as GPT-3, GPT-4, or similar for natural language understanding and generation tasks.

• Computer Vision:

  Knowledge of computer vision technologies and libraries such as OpenCV, YOLO, or TensorFlow Object Detection API.

Preferred Experience:

• Proven Track Record:

  Demonstrated success in scaling businesses or leading teams through significant growth phases, showcasing your ability to drive impactful results.

• AI Expertise:

  Deep familiarity with the latest AI tools and technologies, including Generative AI applications, with a passion for staying at the forefront of technological advancements.

• Startup Savvy:

  Hands-on experience in early-stage startups, with a proven ability to navigate the unique challenges and seize the opportunities that come with building a company from the ground up.

• Finance Industry Insight:

  Extensive experience in the finance industry, with a comprehensive understanding of its dynamics, challenges, and opportunities, enabling you to drive innovation and deliver exceptional value to clients.

Why Join Us:

• Opportunity to work closely with experienced founders and learn from their entrepreneurial journey.
• Make a significant impact on a growing company and shape its future.
• Collaborative and innovative work environment.

• Lucrative compensation package

  including competitive salary and equity options.