As a Senior Data Scientist, you will apply advanced subject matter knowledge to solve complex business challenges, acting as a subject matter expert. This role requires you to frequently contribute innovative ideas and methodologies that enhance decision-making processes within the organization. You will be working on complex problems where deep analysis of multiple factors and data is essential to reach actionable insights. You will lead and provide expertise to functional teams, drive process improvements, and establish policies while representing the organization to external clients and stakeholders.

Responsibilities

1. Data Mining & Analytics. Utilize modern tools and programming languages to mine data and extract valuable insights to solve business problems.
2. Statistical & Predictive Modeling. Apply advanced statistical and predictive modeling techniques to build, maintain, and improve decision systems that drive business decisions.
3. Innovation & Problem Solving. Develop and implement innovative approaches to solve complex analytics problems. Effectively communicate results and methodologies to stakeholders.
4. Model Development & Business Value. Define and implement models that uncover patterns and predict outcomes, creating business value and fostering innovation.
5. Business & Technical Translation. Translate business needs into technical requirements and propose solutions to meet those needs. Validate solutions for effectiveness.
6. Collaboration & Relationship Management. Manage relationships with business partners to evaluate data-driven opportunities and provide domain expertise in cross-functional projects and initiatives.
7. Data Visualization & Insights Communication. Design effective visualizations that communicate business value and the potential for innovation.
8. Continuous Learning. Stay up-to-date with emerging trends in data science technologies and techniques. Contribute to the growth of the data science domain within the industry.
9. Leadership & Project Management. Lead data science teams through complex development projects, ensuring regular communication of insights and maintaining data accuracy and compliance.
10. Improvement & Excellence. Drive the implementation of agreed-upon improvements and quality initiatives to enhance operational excellence and cost efficiency.
11. Team Development. Foster a high-performance work environment conducive to growth, challenge, and reward. Provide guidance, training, and mentoring to junior staff members.

Education & Experience

• A Bachelor's, Master's, or PhD degree in Mathematics, Economics, Physics, Statistics, Computer Science, or a related field.
• Typically 6-10 years of relevant experience, including graduate or postgraduate research.

Knowledge & Skills

1. Data Science Expertise. Extensive experience in utilizing statistics, mathematics, algorithms, and programming languages to solve complex big data challenges.
2. Data Management. Proficiency in both structured and unstructured data management, including modern data transformation methodologies.
3. Modeling & Analysis. Ability to define and create complex models that uncover valuable insights and predictions from data.
4. Machine Learning & Deep Learning. Expertise in machine learning algorithms (e.g., Decision Trees, Random Forest, Naïve Bayes, PCA) and deep learning architectures (e.g., CNN, RNN, ResNet).
5. Mathematical & Statistical Techniques. Strong knowledge of matrices, calculus, linear algebra, probability, and statistical methods such as regression and hypothesis testing.
6. Programming Proficiency. Fluency in Python and libraries such as NumPy, Pandas, Matplotlib, and SciKit-Learn, as well as experience with deep learning libraries (e.g., TensorFlow, Keras, PyTorch).
7. SQL & Data Tools. Strong knowledge of SQL, Excel, and Access (including arrays and VBA).
8. Communication Skills. Exceptional written and verbal communication skills, with the ability to convey complex data insights effectively to senior management.
9. Visualization & Storytelling. Ability to create compelling visualizations that clearly communicate data insights and business value.

Impact & Scope

• Collaborate with peers, junior engineers, data scientists, and project teams to deliver data engineering solutions.
• Lead multiple projects requiring data engineering solutions development and drive innovation.
• Engage with high-level individual contributors, managers, directors, and core program teams to influence business decisions.

Complexity

• This role involves moderate to high complexity in terms of problem-solving, requiring in-depth knowledge of data science, machine learning, and business strategy.

If you're an experienced Data Scientist passionate about solving complex business challenges and driving innovation through data, we encourage you to apply and be part of our cutting-edge team.