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Stratapps Solutions

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4.0

based on 9 Reviews

6 Stratapps Solutions Jobs

Data Statistician with Python Expertise

StratApps

4.0

based on 9 Reviews

2-5 years

Hyderabad / Secunderabad

1 vacancy

Data Statistician with Python Expertise

Stratapps Solutions

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Machine Learning Clinical Data Management Analytical Chemistry

+ 4 more

Job Description

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:
Strong expertise in Python and popular data libraries (e.g., Pandas, NumPy, SciPy, StatsModels).
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
Proficiency in SQL and working knowledge of databases.
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].

Employment Type: Full Time, Permanent

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