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We are seeking a Senior Data Scientist to lead data-driven projects that drive strategic decisions and innovation. You will work closely with a team of data professionals to build and deploy advanced statistical models and machine learning solutions aligned with business goals.
Key Responsibilities:
Guide the design development and deployment of machine learning models and statistical analyses.
Lead end-to-end data science projects from ideation to implementation.
Collaborate with cross-functional teams to translate business challenges into data-driven solutions.
Communicate analytical findings and model results clearly to technical and non-technical stakeholders.
Promote a culture of continuous learning innovation and data best practices across the organization.
Qualifications :
Must-Have Skills:
Python (Strong)
SQL (Strong)
Statistics
Good-to-Have Skills:
PySpark R C JavaScript SAS Excel
Knowledge of distributed computing tools (e.g. Hadoop Hive Kafka MapReduce)
Experience with ML techniques (e.g. GLM regression boosting deep learning CNN RNN)
Exposure to specialized ML areas like text analytics image recognition or graph analysis
Familiarity with big data tools and cloud platforms (e.g. Apache Spark Azure Data Lake Azure ML Databricks)
Proficiency with data visualization tools (e.g. Power BI)
Version control and collaboration tools (e.g. Git Jupyter Notebooks)
Education & Experience:
Education: Bachelors or Masters in Data Science Computer Science Statistics or a related field
Experience: 5 years of experience in data science roles with proven project execution in statistical modeling data engineering and visualization
Other Skills & Competencies:
Strong understanding of AI and its business applications
Ability to explain complex models and insights to diverse audiences
Strong collaboration storytelling and presentation skills
Willingness to learn new technologies and adapt quickly in a dynamic environment
Remote Work :
Yes
Employment Type :
Full-time
Remote
Engineering