Senior Data Scientist

Career Level : Senior 

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 seeking a highly skilled Senior Data Scientist to lead and innovate within our growing data science team. This role requires a blend of technical expertise, strategic thinking, and leadership to design, implement, and optimize complex machine learning models and data-driven solutions. You will drive impactful data science initiatives, manage ambiguity, and lead projects of moderate-to-high complexity while influencing technical decisions and business strategies.

Key Responsibilities

• Design, develop, and optimize advanced machine learning models and AI-driven solutions to solve complex business problems.
  
• Lead moderately complex data science projects with minimal direction, navigating ambiguity while ensuring scalable and impactful outcomes.
  
• Provide technical leadership, mentoring junior and mid-level data scientists while fostering a collaborative and high-performance culture.
  
• Develop high-quality, maintainable, and scalable code in at least one programming language (Python, R, Scala, or similar).
  
• Contribute to technical roadmaps, product features, and strategic initiatives, ensuring alignment with business and technical goals.
  
• Design and implement complex, scalable, and maintainable data architectures, utilizing appropriate big data technologies and cloud platforms (AWS, Azure, GCP).
  
• Troubleshoot and debug complex distributed systems and machine learning models, ensuring high performance and reliability.
  
• Strategically approach complex challenges, making decisions that align with long-term business objectives and fiscal responsibility.
  
• Drive cross-functional collaboration with engineering, product, and business teams, ensuring seamless integration of AI solutions.
  
• Influence the technical direction of projects across teams and domains, advocating for best practices and innovative approaches.
  
• Champion a positive team culture, proactively managing expectations, resolving conflicts, and fostering an inclusive and growth-oriented environment.
  

Required Qualifications

• Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Mathematics, or a related field.
  
• 7-10 years of experience in data science, AI/ML, or advanced analytics with a proven track record of delivering impactful solutions.
  
• Mastery in at least one programming language (Python, R, Scala, or similar), with strong coding skills to handle complex challenges.
  
• Expertise in machine learning, deep learning, statistical modeling, and AI techniques.
  
• Proficiency in software engineering best practices, including version control (Git), testing, and CI/CD.
  
• Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and MLOps frameworks.
  
• Strong background in data pipelines, feature engineering, and model deployment at scale.
  
• Ability to navigate ambiguity and evolving business needs, ensuring AI solutions remain adaptable and relevant.
  
• Proven track record of leading small teams and managing projects of moderate-to-high complexity.
  
• Excellent communication skills, capable of influencing technical and business stakeholders at all levels.
  

Preferred Skills

• Experience with NLP, reinforcement learning, or time-series forecasting.
  
• Knowledge of edge AI, federated learning, or AI ethics.
  
• Familiarity with graph databases, Bayesian methods, or probabilistic programming.
  
• Experience in automating and optimizing AI/ML workflows with tools like MLflow, Kubeflow, or TensorFlow Extended (TFX).
  

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.