Data Scientist
Apex Systems
Senior Data Scientist
Position Summary We are seeking an experienced Senior Data Scientist to join our team and drive data-driven innovation across the organization. This role is responsible for leveraging advanced analytics, machine learning, and predictive modeling techniques to solve complex business challenges and influence strategic decision-making. The ideal candidate has a strong technical foundation, proven leadership experience, and a passion for transforming data into actionable insights. Key Responsibilities Data Science & Advanced Analytics- Analyze large, complex datasets to identify trends, patterns, and opportunities that drive business value.
- Develop and implement advanced statistical models and machine learning solutions to address business challenges.
- Design, build, and optimize predictive and prescriptive models using techniques such as deep learning, neural networks, and ensemble methods.
- Lead feature engineering efforts to improve model performance and accuracy.
- Formulate hypotheses and perform rigorous statistical testing to validate business decisions and outcomes.
- Develop, train, evaluate, and optimize machine learning algorithms and models.
- Oversee the deployment and monitoring of machine learning solutions in production environments.
- Partner with engineering and data teams to operationalize models and support real-time decision-making applications.
- Design and analyze experiments, including A/B testing frameworks, to measure the effectiveness of business initiatives.
- Create impactful dashboards, reports, and visualizations using tools such as Tableau, Power BI, and Python-based visualization libraries.
- Present complex analytical findings and recommendations to both technical and non-technical stakeholders.
- Translate business objectives into data science solutions that support organizational goals.
- Collaborate with cross-functional teams including business leaders, engineers, analysts, and domain experts to define and deliver data science initiatives.
- Mentor and develop junior data scientists and analytics professionals.
- Contribute to the organization's data science strategy, roadmap, and best practices.
- Promote a culture of data-driven decision-making across the enterprise.
- Ensure compliance with data privacy regulations, ethical AI principles, and data governance standards.
- Evaluate emerging technologies, tools, and methodologies to continuously improve data science capabilities and business outcomes.
- Drive innovation through the application of advanced analytics and machine learning techniques.
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field.
- 10+ years of professional experience in data science, analytics, machine learning, or a related discipline.
- Extensive experience building and deploying machine learning models in enterprise environments.
- Advanced proficiency in Python, R, Julia, or similar programming languages.
- Strong expertise in statistical modeling, machine learning algorithms, and predictive analytics.
- Experience with SQL and working with large-scale relational and non-relational datasets.
- Hands-on experience with big data platforms and distributed computing technologies such as Hadoop and Spark.
- Advanced experience with data visualization tools including Tableau, Power BI, or Python visualization frameworks.
- Strong problem-solving, analytical, and critical-thinking skills.
- Excellent communication skills with the ability to influence stakeholders at all levels of the organization.
- Demonstrated leadership experience mentoring teams and driving enterprise data initiatives.
- Solid understanding of data governance, privacy regulations, and responsible AI practices.
- Experience in cloud-based analytics environments such as Azure, AWS, or Google Cloud.
- Experience deploying machine learning models using MLOps frameworks and CI/CD pipelines.
- Familiarity with data lake and data warehouse architectures.
- Experience leading large-scale data modernization or AI transformation initiatives.
Vacancy posted more than 2 months ago
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