We are looking for a Senior Data Scientist for TechSoftX. If you are interested, please send your resume to [email protected]. Candidates should apply directly. Recruitment agencies will NOT be entertained.

About TechSoftX

Description: TechSoftX is a Sydney-based Australian software company, with presence in Melbourne, Victoria and Delaware, USA. We develop products, provide consulting, training, services, support, and partner with other companies to sell their products and services. Our expertise lies in the broad areas of artificial intelligence (machine learning, data science, optimization) and cyber security (cryptography, security, privacy, blockchain).

Vision: Our vision is to lead the future of digital innovation by seamlessly integrating artificial intelligence with advanced cybersecurity solutions, ensuring that as technology evolves, trust, safety, and human-centric progress remain at its core. We want to create a safer, smarter world by pioneering intelligent technologies that protect and empower individuals, businesses, and governments.

Mission: Our mission is to develop cutting-edge AI solutions and next-generation cyber defenses that empower organizations to thrive securely in a rapidly evolving digital landscape. We are committed to innovation, ethical technology, and building a foundation of trust in every line of code we write. We want to design and deliver intelligent, resilient technologies that defend digital ecosystems and drive innovation, safeguarding the future of a connected world.

About the role

Position: Senior Data Scientist

Location: Sydney, Melbourne, Kolkata

Overview:

We are seeking a highly skilled and experienced Senior Data Scientist to join our data science team. The ideal candidate will be a critical thinker and problem solver with a strong background in statistical modeling, machine learning, and data engineering. You will be responsible for leading complex analytical projects, developing and deploying scalable data science solutions, and mentoring junior team members. This role requires the ability to translate business objectives into measurable technical solutions and communicate findings effectively to both technical and non-technical stakeholders.

As a Senior Data Scientist, you will play a key role in driving data-informed decision-making across the organisation. You’ll lead end-to-end analytical projects — from problem definition and data exploration to model development, deployment, and stakeholder communication. You’ll collaborate with cross-functional teams to uncover actionable insights, build scalable predictive models, and advance our data science capabilities.

Responsibilities:

1. Lead the design, development, and deployment of advanced predictive and prescriptive models using machine learning, statistical modeling, and optimization techniques to solve complex business problems.
2. Collaborate with cross-functional teams (Product, Engineering, Business) to understand requirements, define project scope, and deliver impactful data-driven solutions.
3. Develop and maintain production-ready data pipelines and scalable infrastructure for deploying and monitoring models in a cloud environment (e.g., AWS, GCP, Azure).
4. Perform deep-dive analyses using statistical methods to identify trends, patterns, and insights that drive strategic business decisions.
5. Mentor and guide junior data scientists on best practices in coding, modeling, experimentation, and deployment.
6. Drive the adoption of new technologies, data science methodologies, and best practices across the organization.
7. Present findings, recommendations, and the business impact of data science initiatives to executive leadership and stakeholders.
8. Ensure data quality, integrity, and security across all projects and models.

Qualifications:

Required

• Education: Master’s or Ph.D. degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• Experience: 5+ years of professional experience in a Data Scientist or similar quantitative role, with a proven track record of successfully delivering end-to-end data science projects.
• Technical Skills:
• Expert proficiency in programming languages, particularly Python (Numpy, Pandas, Scikit-learn, TensorFlow/PyTorch) and/or R.
• Strong expertise in SQL and working with relational and non-relational databases.
• Deep understanding of a broad range of machine learning algorithms (e.g., boosting, deep learning, time series) and statistical concepts.
• Experience with cloud platforms (AWS, GCP, or Azure) and technologies like Docker, Kubernetes, and MLOps tools.
• Experience with Big Data technologies (e.g., Spark, Hadoop).
• Soft Skills:
• Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Proven ability to lead projects independently and manage stakeholder expectations.

Preferred

• Experience in Specific Industry, e.g., FinTech, E-commerce, Healthcare or with Specific Data Type, e.g., NLP, Computer Vision, Geospatial Data.
• Familiarity with A/B testing, experimental design, and causal inference techniques.
• Experience with dashboarding and data visualization tools (e.g., Tableau, Power BI).

What We Offer

• Competitive salary and performance-based bonus
• Flexible hybrid or remote work arrangements
• Learning and development support (courses, certifications, conferences)
• Inclusive, collaborative, and data-driven culture

Visa:

1. No visa sponsorship is available for this position.
2. You must be a citizen or permanent resident of the country where the job is located.