Description:

The Data Scientist (aka The Data Whisperer) will uncover hidden insights from vast datasets and turn data into actionable insights that drive critical business decisions.
This role involves building predictive models and solving complex problems using machine learning, statistical analysis, and data visualization.
The Data Scientist will work alongside a talented team of data engineers and product managers to provide insights that inform product development, marketing strategies, and operational efficiency.
Key responsibilities include collecting, cleaning, and analyzing large datasets to uncover trends, patterns, and anomalies.
The role requires building and deploying predictive models for business challenges such as customer segmentation and demand forecasting.
The Data Scientist will create compelling data visualizations and dashboards to translate complex data insights into understandable reports.
Collaboration with cross-functional teams is essential to understand business needs and deliver data-driven solutions.
The position involves designing and conducting A/B tests to optimize product features and marketing campaigns.
The Data Scientist will collaborate with data engineers to build and optimize data pipelines for efficient data processing.
Staying up-to-date with the latest advancements in data science, machine learning, and AI is crucial for improving model performance and innovation.

Requirements:

Strong knowledge of statistical analysis, machine learning algorithms, and data modeling techniques is required.
Proficiency in programming languages such as Python, R, or SQL is necessary, along with experience in data manipulation libraries like Pandas, NumPy, or Spark.
Expertise in creating impactful data visualizations and dashboards using tools like Tableau, Power BI, Matplotlib, or Seaborn is essential.
A solid understanding of statistical methods, hypothesis testing, A/B testing, and experimentation is required.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary for building and evaluating models.
A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field is required, with equivalent experience in data science or machine learning being highly valued.
At least 3 years of experience in data science is required, with a proven track record of building and deploying machine learning models.
Experience with large datasets, data engineering workflows, and cloud-based data services (AWS, GCP, Azure) is necessary.
Proven success in delivering data-driven insights that have influenced business decisions or improved product performance is essential.

Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums are provided.
Competitive vacation, sick leave, and 20 paid holidays per year are included in the paid time off policy.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs support professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources is available.
Life insurance and short-term/long-term disability coverage are provided as part of life and disability insurance benefits.
Confidential counseling and support services for personal and professional challenges are available through the Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development is offered through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged for community engagement.
Employee recognition programs celebrate achievements and milestones within the organization.