Data Scientist @ Kaizen Analytix | Jobright.ai
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Kaizen Analytix ยท 6 hours ago

Data Scientist

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Responsibilities

Analyze large, structured and unstructured datasets to identify trends, patterns, and insights.
Develop, test, and implement machine learning models and algorithms to solve business problems.
Clean, transform, and preprocess raw data into a format suitable for analysis.
Build predictive models using supervised and unsupervised learning techniques.
Create intuitive and interactive dashboards, reports, and visualizations to communicate insights effectively to stakeholders.
Work closely with cross-functional teams, including business stakeholders, engineers, and analysts, to identify opportunities for data-driven solutions.
Stay updated with the latest advancements in data science and machine learning techniques.
Evaluate model performance and continuously improve models based on feedback and new data.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningPythonRSQLStatistical AnalysisPredictive ModelingData VisualizationTensorFlowScikit-learnKerasPyTorchHadoopSparkTableauPower BIMatplotlibAWSAzureGoogle CloudDeep LearningNLPComputer VisionA/B TestingExperimental Design

Required

Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field.
Proven experience as a Data Scientist, Data Analyst, or similar role.
Strong proficiency in Python, R, or other relevant programming languages.
Experience with machine learning libraries such as TensorFlow, Scikit-learn, Keras, PyTorch, etc.
Expertise in statistical analysis and predictive modeling techniques.
Strong knowledge of SQL for querying relational databases.
Strong problem-solving abilities with a keen eye for detail and the ability to translate complex data into actionable insights.
Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred

Experience with cloud platforms like AWS, Azure, or Google Cloud.
Familiarity with deep learning techniques and frameworks (e.g., CNNs, RNNs).
Knowledge of natural language processing (NLP) or computer vision is a plus.
Experience with A/B testing and experimental design.
Experience with big data technologies (Hadoop, Spark, etc.) is a plus.
Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.
Experience in deploying machine learning models to production environments is a plus.

Company

Kaizen Analytix

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Kaizen Analytix is an analytics products and services company.

H1B Sponsorship

Kaizen Analytix has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (7)
2021 (4)
2020 (11)

Funding

Current Stage
Growth Stage

Leadership Team

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Ken Bara
Managing Partner and Chief Financial Officer
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Stephen Derbis
Vice President Product Engineering
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Company data provided by crunchbase
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