Data Scientist III

Career Level : Mid-level

Who We Are:

This is Spearhead Technology — where every challenge is an opportunity, and every solution is a masterpiece in the making. As a full-lifecycle IT company, we transcend mere delivery; we engineer success.

From inception to implementation, our seasoned expertise shepherds every phase of the journey. Be it planning, analysis, design, development, testing, or the seamless transition to production, we stand as steadfast partners in our clients’ progress.

At Spearhead Technology, quality isn't a mere aspiration—it's our ethos. Rooted in Tech Advisory, our methodology is guided by insights that spark transformative outcomes. We recognize the paramount importance of talent retention. Through a steadfast commitment to work-life balance, competitive remuneration packages, and an optimized operational model, we ensure our team remains as exceptional as our services.

Step into Spearhead Technology, where innovation meets precision, and together, let's sculpt the future of technology with finesse and distinction.

Requirements

We are looking for an experienced Data Scientist III to design and implement complex data-driven solutions, applying advanced statistical modeling and machine learning techniques to solve business challenges. In this role, you will work independently and collaboratively to build scalable, high-impact data products while mentoring junior team members and influencing strategic technical decisions.

As a mid-level data scientist, you will bring deep expertise in programming, data engineering, and algorithm development, ensuring efficient, maintainable, and secure implementations. You will also play a critical role in managing technical debt, driving innovation, and optimizing data pipelines and models for production.

Key Responsibilities

• Independently design, develop, and deploy complex machine learning models and data-driven solutions that enhance business operations and decision-making.
  
• Write idiomatic, maintainable, and efficient code in at least one programming language (e.g., Python, R, SQL), improving code readability and collaboration.
  
• Apply software engineering best practices to develop scalable data applications, integrating frameworks, libraries, and tools for robust application development.
  
• Utilize advanced statistical analysis, predictive modeling, and AI techniques to extract meaningful insights from complex data sets.
  
• Design and implement secure, scalable, and modular data architectures, adhering to best practices in security and risk mitigation.
  
• Troubleshoot complex data challenges, independently addressing issues and recognizing opportunities for data optimization.
  
• Manage and reduce technical debt by identifying inefficient processes, improving infrastructure, and ensuring model reliability and efficiency.
  
• Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to align data solutions with organizational goals.
  
• Lead and facilitate technical discussions, mentoring junior data scientists and engineers while fostering a collaborative team culture.
  
• Actively participate in hiring processes, technical interviews, and knowledge-sharing initiatives to support team growth and development.
  

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
  
• 5-7 years of hands-on experience in data science, machine learning, and software engineering.
  
• Proficiency in at least one programming language (Python, R, SQL, or similar).
  
• Deep understanding of data structures, algorithms, and software development methodologies.
  
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data processing tools (e.g., Spark, Hadoop, Pandas).
  
• Experience designing secure, scalable, and efficient architectures, incorporating security best practices to mitigate vulnerabilities.
  
• Strong experience in feature engineering, model training, evaluation, and deployment in production environments.
  
• Knowledge of cloud-based data platforms (AWS, Azure, Google Cloud) and big data technologies.
  
• Ability to communicate complex data concepts effectively to technical and non-technical audiences.
  

Preferred Skills

• Experience with MLOps and automated machine learning pipelines.
  
• Understanding of natural language processing (NLP), deep learning, or reinforcement learning.
  
• Hands-on experience with CI/CD pipelines for machine learning models.
  
• Familiarity with data privacy regulations and ethical AI practices.
  

Benefits

What’s in it for you:

At Spearhead Technology, we prioritize your well-being and professional growth. Here's what you can expect:

• Achieve a healthy work-life balance.
  
• Competitive compensation and abundant growth opportunities.
  
• Enjoy a standard 5-day workweek with 2 fixed weekly offs.
  
• Experience an employee-centric environment with supportive policies.
  
• Benefit from family-friendly and flexible work arrangements.
  
• Access our Performance Advancement and Career Enhancement (PACE) initiative and discover opportunities for both personal and professional growth. From tailored career development plans to expert counseling services, PACE empowers you to chart your course to success with confidence and clarity.
  Elevate your career trajectory with our Learning & Development (L&D) program. Join our team and embark on a transformative journey of upskilling and self-discovery. With continuous learning as your compass, you'll not only enhance your expertise but also open doors to new opportunities, paving the way for career growth and fulfillment.
  
  

Please note : At Spearhead Technology, we value the importance of collaboration, learning, and fostering connections with clients, peers, leaders, and communities. While some in-person engagement may be required for certain roles, we are committed to providing flexibility to accommodate your individual work-life balance needs.

As an equal opportunities’ employer, Spearhead Technology welcomes and encourages applications from all members of society. We are dedicated to creating an inclusive environment where diversity is celebrated, and individuals are valued for their unique perspectives and contributions. We do not discriminate on the basis of race, religion or belief, ethnicity, disability, age, citizenship, marital or civil partnership status, sexual orientation, or gender identity.