Data Scientist
Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
About the company:
The company is a prominent multilevel marketing (MLM) company specializing in health supplements personal care products and lifestyle goods. They aim to empower individuals to achieve financial independence while promoting a healthy lifestyle.
Responsibilties:
- Data Mining: Identify and extract valuable data from various sources such as databases APIs and web sing.
- Feature Selection and Classification: Utilize machine learning algorithms to choose the most relevant features from the dataset develop classifiers and refine them for better accuracy.
- Data Preprocessing: Clean and format both structured (like SQL databases) and unstructured data (like text or images) to prepare it for analysis.
- Data Integrity: Implement processes to ensure data quality by validating and cleansing data sets to eliminate inconsistencies and errors.
- Pattern Analysis: Employ statistical methods and machine learning techniques to analyze large datasets uncover trends and derive actionable insights.
- Predictive Modeling: Design and develop algorithms that predict outcomes based on historical data helping to inform strategic business decisions.
- Solution Proposals: Suggest datadriven strategies to address specific business problems leveraging analytical insights to improve decisionmaking.
- Collaboration: Work closely with crossfunctional teams including Business and IT to align data initiatives with organizational goals and ensure technical feasibility.
Requirements:
- Educational Background: A degree in Computer Science Engineering or a related field.
- Proven Experience: Demonstrated Min 2 years experience in Data Scientist role showcasing the ability to apply these skills in realworld scenarios.
- Programming Skills: Proficiency in languages like R and Python for statistical analysis and machine learning alongside SQL for querying databases.
- Statistics: Strong foundation in applied statistics understanding key concepts such as statistical tests probability distributions regression analysis and maximum likelihood
estimation. - Machine Learning: Familiarity with various machine learning algorithms and enabling the selection of appropriate models for specific tasks.
- Data Wrangling: Ability to preprocess and clean datasets addressing issues like missing values inconsistencies and outliers to ensure data quality.
- Handson Experience with Data Science Tools: Practical experience using various data science tools and libraries such as scikitlearn TensorFlow or similar platforms to implement machine learning and analysis tasks.
- Analytical Mind and Business Sense: Ability to think critically about data in a business context linking insights to strategic objectives and operational decisions.
- Experience with big data technologies (e.g. Hadoop Spark) is a plus.
- Familiarity with cloud platforms like AWS Azure or Google Cloud.
Consultant incharge:
Tracy Lee
Employment Type
Full Time
