Senior Data Scientist

Senior Data Scientist

Key Responsibilities

●       Lead and execute end -to -end data science
projects, encompassing problem definition, data exploration, model creation,
assessment, and deployment.

●       Develop
and deploy predictive models, optimization techniques, and statistical analyses
to address tangible business needs.

●       Articulate
complex findings through clear and persuasive storytelling for both technical
experts and non -technical stakeholders.

●       Spearhead
experimentation methodologies, such as A/B testing, to enhance product features
and overall business outcomes.

●       Partner
with data engineering teams to establish dependable and scalable data
infrastructure and production -ready models.

●      Guide and mentor junior data scientists,
while also fostering team best practices and contributing to research endeavours.

Required
Qualifications & Skills:

●       Bachelor’s
or master’s degree in computer science, Engineering, or a related field

●       8+
years of practical experience in data science, including deploying models to
production.

●       Expertise
in Python and SQL;

●       Solid
background in ML frameworks such as scikit -learn, TensorFlow, PyTorch, and
XGBoost.

●       Competence
in data visualization tools like Tableau, Power BI, matplotlib, and Plotly.

●       Comprehensive
knowledge of statistics, machine learning principles, and experimental design.

●       Experience
with cloud platforms (AWS, GCP, or Azure) and Git for version control.

●       Exposure
to MLOps tools and methodologies (e.g., MLflow, Kubeflow, Docker, CI/CD).

●       Familiarity
with NLP, time series forecasting, or recommendation systems is a plus.

●       Knowledge
of big data technologies (Spark, Hive, Presto) is desirable.