Job Description

Company Profile :

STRATAPPS SOLUTIONS ( http://www.stratapps.com/)

StratApps, headquartered in Silicon Valley, is a Global Solutions and Products company focused on enabling organizations to use data as a growth lever. With more than 6 years of experience in helping organizations realize the value of analytics, whether startups or Fortune 500, our customers have the solutions to make informed decisions to increase profits, optimize utilization of resources, reduce waste, and focus on areas of growth. We offer exceptional expertise and customer service for solutions in: Designing and implementing data warehouses from scratch Developing ETL strategy to aggregating data from multiple disparate data sources. Building complex, self-service analytics dashboards and reports that provide a uniform, conformed and holistic view of business processes Deploying, extending and establishing enterprise wide business intelligence platforms Guiding your reduction of BI Standardization Costs with a single view of user adoptions across not one, but multiple platforms.

Job Overview

We are seeking an experienced Statistician with strong Python programming skills to join our team. This role requires expertise in statistical modeling, data analysis, and a strong foundation in Python to help drive data-driven insights and strategies. The ideal candidate will apply statistical methods to solve complex business challenges, streamline data processes, and deliver actionable insights.

Key Responsibilities

Statistical Analysis: Conduct in-depth statistical analyses and interpret data trends to support decision-making processes.

Model Development: Develop and validate statistical models (regression, classification, time-series forecasting, etc.) to solve complex business problems.

Data Management & Preprocessing: Gather, clean, and preprocess data from multiple sources to prepare it for analysis.

Programming in Python: Use Python to automate data processing, run simulations, and create scripts to streamline data workflows.

Reporting & Visualization: Build and maintain dashboards, visualizations, and reports to communicate findings to stakeholders in a clear, concise, and actionable format.

Collaboration: Work closely with data engineers, analysts, and cross-functional teams to support data-driven projects.

Continuous Learning: Stay updated with the latest trends and best practices in statistics, data science, and Python programming.

Requirements

Education: Bachelor's or Master's degree in Statistics, Mathematics, Data Science, or a related field.

Experience: Minimum of [2-5] years of experience in a similar role with hands-on experience in Python.

Technical Skills:

o Strong expertise in Python and popular data libraries (e.g., Pandas, NumPy, SciPy, StatsModels).

o Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).

o Proficiency in SQL and working knowledge of databases.

o Knowledge of machine learning concepts and familiarity with libraries like scikit-learn.

Statistical Knowledge: Strong foundation in statistical techniques such as hypothesis testing, regression, Bayesian analysis, and time-series analysis.

Analytical Thinking: Ability to analyze complex data, identify patterns, and generate actionable insights.

Communication: Excellent communication skills with the ability to present complex statistical findings to a non-technical audience.

Preferred Qualifications

Experience with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, GCP, Azure).

Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).

Previous experience in [relevant industry, if applicable].

Work Mode - Hybrid

Regards:

Daisy Shalini,

Sr Technical Recruiter

dshalini@stratapps.com

6281357047

Job Types: Full-time, Permanent

Pay: Up to ?1,000,000.00 per year

Work Location: In person

Application Deadline: 20/12/2024