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Data Scientist
Digital Globe Services (DGS)
posted 2hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Data Analysis : Analyze large, complex datasets to identify patterns, trends, and actionable insights.
- Model Development : Build and deploy predictive models, machine learning algorithms, and statistical analyses to address business problems.
- Data Wrangling : Collect, clean, and preprocess structured and unstructured data for analysis.
- Visualization : Create compelling data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
- Collaboration : Partner with business stakeholders, product managers, and engineers to understand requirements and deliver data-driven solutions.
- Experimentation : Design and conduct experiments, such as A/B testing, to evaluate the impact of business strategies.
- Reporting : Develop and present clear, concise reports to support business decisions.
- Continuous Learning : Stay up-to-date with emerging trends, tools, and best practices in data science and analytics.
Required Qualifications
- Education : Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (PhD is a plus).
- Experienc
- Proven experience as a Data Scientist or in a similar analytical role.
- Expertise in statistical analysis, machine learning, and data mining techniques.
- Programming Skills : Proficiency in Python, R, or SQL, with experience in data science libraries (e.g., Pandas, NumPy, scikit-learn).
- Data Visualization : Experience with visualization tools like Tableau, Power BI, or matplotlib.
- Big Data Tools : Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Cloud Platforms : Experience with cloud services (e.g., AWS, Google Cloud, Azure) for data processing and analysis.
Preferred Qualifications
- Strong knowledge of advanced machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience in natural language processing (NLP), computer vision, or time-series analysis.
- Familiarity with MLOps practices for deploying and managing machine learning models.
- Domain expertise in [specific industry, e.g., healthcare, retail, finance, etc.].
- Knowledge of distributed computing and database systems.
Key Competencies
- Strong analytical and problem-solving skills.
- Ability to communicate complex data insights effectively to non-technical stakeholders.
- A collaborative mindset and ability to work in cross-functional teams.
- Attention to detail and a passion for data-driven decision-making.
Employment Type: Full Time, Permanent
Read full job description What people at Digital Globe Services (DGS) are saying
What Digital Globe Services (DGS) employees are saying about work life
based on 3 employees
Flexible timing
Monday to Friday
No travel
Digital Globe Services (DGS) Benefits
Free Transport 
Cafeteria 
Work From Home 
Team Outings 
International Relocation 
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