Senior Data Analytical Specialist/Scientist

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynet Systems, is seeking the following. Apply via Dice today! We are looking for Senior Data Analytical Specialist/Scientist for our client in Toronto, ON Job Title: Senior Data Analytical Specialist/Scientist Job Location: Toronto, ON Job Type: Contract Job Description: • The Senior Data Analytical Specialist/Scientist will lead the design, development, and delivery of analytics and data-driven insights to support evidence-based decision-making. • This role involves building advanced statistical models, developing data solutions on Azure platforms, and collaborating with stakeholders to transform complex data into actionable intelligence that drives business outcomes. Requirement/Must Have: • Proven experience with Azure data tools, including Azure, Databricks, MLflow, and Python. • Strong background in data analytics, statistical modeling, and machine learning. • Proficiency in data manipulation and analysis of large structured and unstructured datasets. • Experience with data extraction, transformation, and load (ETL) for large relational and multi-dimensional data stores. • Experience designing and presenting meaningful data visualizations. • Proficiency in programming or scripting languages such as Python, R, or SQL. • Familiarity with analytical tools such as PowerPivot, Matlab, SPSS, SAS, or R. • Excellent analytical, problem-solving, and communication skills. • Strong consulting and relationship management abilities with both technical and non-technical audiences. Experience: • Minimum experience leading analytics initiatives, managing end-to-end reporting, and delivering datasets. • Demonstrated ability to develop robust statistical and machine learning models. • Experience working with data architects, ETL developers, and functional experts to design data-driven solutions. • Experience building and maintaining pipelines and running inference jobs in Databricks or similar environments. • Experience with modern data and AI ecosystems, preferably within large-scale enterprise or government settings. Responsibilities: • Lead the development and delivery of analytics and reporting to support decision-making. • Work with client groups to assess current capabilities, define requirements, and identify improvement opportunities. • Develop, test, and deploy statistical models and machine learning algorithms. • Execute and monitor inference jobs, troubleshoot issues, and document model performance. • Support DSPy pipelines and evaluation runs using internal metrics. • Prepare, clean, and annotate datasets for inference and evaluation. • Communicate analytical insights through clear visualizations and summaries. • Participate in documentation, development, testing, and end-user training. • Collaborate with stakeholders to ensure accurate, unbiased, and useful data models. Should Have: • Awareness of emerging Business Intelligence and AI trends. • Ability to work both independently and collaboratively. • Strong investigative and logical reasoning skills. • Detail-oriented with strong organizational and tracking skills. Skills: • Azure, Databricks, MLflow, Python. • Machine learning, data modeling, and statistical analysis. • ETL development, data visualization, and dashboard creation. • Proficiency with pandas, scikit-learn, or PyTorch. • Familiarity with LLM frameworks such as DSPy, LangChain, or Hugging Face. • Experience with Microsoft Excel, Access, and VBA. Qualification or Education: • Degree in Computer Science, Data Science, Mathematics, Statistics, or related field. • Candidates with AI/ML background or entry level candidates in Data Science are acceptable.