Description:

The Data Scientist (The Insight Alchemist) position is focused on uncovering insights from large datasets to influence business strategies.
The role involves collaborating with cross-functional teams, including product managers, engineers, and business stakeholders, to transform data into valuable insights.
Key responsibilities include analyzing complex datasets, developing machine learning models, creating data-driven recommendations, and delivering insights that enhance product development and customer experience.
The Data Scientist will perform data analysis and modeling, develop predictive models, engage in data exploration and feature engineering, and collaborate with teams to translate needs into data science solutions.
Responsibilities also include designing A/B tests, creating data visualizations and reports, and staying current with advancements in data science and AI.

Requirements:

Candidates must have strong knowledge of data science techniques, including machine learning, statistical analysis, and predictive modeling, with experience in tools like Python, R, TensorFlow, PyTorch, or Scikit-learn.
Proficiency in data wrangling and feature engineering is required, along with experience in preparing large datasets for machine learning using SQL, Pandas, or similar tools.
Hands-on experience in developing and deploying machine learning models, including regression, classification, clustering, and time series analysis, is essential, as well as familiarity with cloud-based platforms like AWS, GCP, or Azure.
Expertise in data visualization and communication is necessary, with the ability to present complex findings using tools like Tableau, Power BI, or Matplotlib.
Strong collaboration and communication skills are required to work effectively with cross-functional teams and convey complex data insights to non-technical stakeholders.
A Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field is required, with equivalent experience in data science also valued.
Candidates should have 3+ years of experience in data science or analytics, with a proven track record of generating insights from large datasets and driving business decisions.
Experience with cloud-based data services for model training and deployment is highly desirable.

The position offers comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
Employees receive competitive vacation, sick leave, and 20 paid holidays per year.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs are available for professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources, is provided.
Life insurance and short-term/long-term disability coverage are included in the benefits package.
Employees can utilize the Employee Assistance Program (EAP) for confidential counseling and support services.
Financial assistance for continuing education and professional development is available through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged.
Employee recognition programs celebrate achievements and milestones within the organization.