Data Scientist

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
3-8 years
Cachar, Goalpara, Kamrup Metropolitan, Karimganj, Russia, Sivasagar, South Africa, United Arab Emirates
Data Science Analytics & Machine Learning
Work from Office
Full Time

Posted: 1 year ago
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Job Description

    We are seeking a highly skilled and analytical Data Scientist to join our growing team. The ideal candidate will be responsible for collecting, analyzing, and interpreting complex data sets to help drive strategic decision-making and business innovation. This role requires strong expertise in statistical analysis, machine learning, and data visualization, as well as the ability to work closely with cross-functional teams to transform data into actionable insights.


    Key Responsibilities:

    • Collect, clean, and preprocess structured and unstructured data from multiple sources.



    • Develop and apply statistical models, predictive algorithms, and machine learning techniques to solve business challenges.



    • Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.



    • Build dashboards, reports, and visualizations to communicate insights effectively to technical and non-technical stakeholders.



    • Collaborate with business leaders, engineers, and product managers to define data-driven strategies.



    • Conduct A/B testing and evaluate business performance metrics to optimize operations.



    • Implement scalable data pipelines and workflows in collaboration with data engineering teams.



    • Stay up to date with the latest trends and advancements in data science, AI, and machine learning.




    Qualifications & Skills:

    • Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.



    • Proven experience as a Data Scientist, Machine Learning Engineer, or similar role.



    • Strong proficiency in Python, R, or SQL for data analysis and model building.



    • Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).



    • Knowledge of big data tools such as Hadoop, Spark, or Databricks (preferred).



    • Expertise in data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, or Plotly).



    • Familiarity with cloud platforms (AWS, Azure, GCP) for data storage and model deployment.



    • Excellent problem-solving, analytical thinking, and communication skills.



    • Ability to work in a fast-paced environment and manage multiple priorities.




Skills

Data VisualizationBig DataPythonData AnalysisData ScienceMachine LearningVisualizationData ScientistAiSqlProfessionalLearningSkillsMlDataMachineDatabaseManagementAnalyticalSoftBusiness

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