Sr. Analyst - Data Scientist

Job Description

Role And Responsibilities
 We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data.
 The ideal candidate will have a working knowledge of statistics, AL / Client algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python).
 Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products and services efficiency and usability.
 Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights.
 Maintain good relationship with stakeholders.
 Should be proactive to learn new skills per business requirement.
 Familiar with extraction of relevant data, cleanse and transform. data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques.

Qualifications And Education Requirements
 Technical Bachelors Degree.
 Preferably in statistics, computer science, mathematics, or engineering.

Preferred Skills

Should Have Excellent Knowledge On
 Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
 Artificial Intelligence & Machine learning Techniques: Expert level knowledge on AI / Client techniques. Implement algorithms and statistical models to enable a computer to automatically learn from data.
 Strong knowledge of Python & R, MS Azure Client Studio, AWS, or Google Cloud.
 Knowledge of data science toolkits such as R, NumPy, and MatLab.
 Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
 Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Python, Java, R, and SQL.
 Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
 Analytical thinking. Find analytical solutions to abstract business issues.
 Business Cliention: Connect with stakeholders to gain a full understanding of the problems theyre looking to solve.
 Interpersonal skills: Communicate across a diverse audience across all levels of an organization.
 Critical thinking: Apply objective analysis of facts before coming to a conclusion.
 Inquisitiveness: Look beyond whats on the surface to Client patterns and solutions within the data.
 Perform data mining, exploration, and analysis.
 Ability to store and process unstructured data with NoSQL databases and machine learning models
 Design, train, and implement machine learning algorithms.
 Strong attention to detail and accuracy of output.
 Advanced knowledge of SQL and Excel.
 Strong Data Visualization skills preferably MS PowerBI.
 Keeping up to date with the latest tools and trends.
 Excellent verbal and written Communication skills
 Leverage predictive models to optimize customer experiences.
 Creating automated anomaly detection.

Work Experience
 3+ year of relevant experience.
 Strong domain knowledge.

Additional Notes

Should be ready work in shifts,