Freelance Databricks & Data Science Specialist

ThreatXIntel; Singapore; Remote; SGD 80,000 - 100,000; Part time

Job summary

A dynamic cybersecurity startup is seeking a Freelance Databricks & Data Science Specialist to develop and optimize data workflows and create impactful dashboards. This role requires expertise in Databricks, Python, and machine learning. If you have a passion for data and a proven track record in delivering innovative solutions, we invite you to apply and join a collaborative team with remote work flexibility.

Benefits

Remote work with flexible hours

Collaborative team on innovative projects

Qualifications

• Strong expertise in Databricks for data engineering, analytics, and machine learning.
• Proficient in Python, PySpark, and SQL for data manipulation and analysis.
• Experience with MLflow for managing machine learning workflows.

Responsibilities

• Develop, manage, and optimize Databricks workflows for data processing and analysis.
• Leverage MLflow to oversee the machine learning lifecycle.
• Build scalable data pipelines utilizing Python, PySpark, and SQL.

Skills

Databricks expertise

Python

PySpark

SQL

MLflow

Data science libraries

Problem-solving

Attention to detail

Tools

Power BI

NumPy

Pandas

Scikit-learn

TensorFlow

Job description

Freelance Databricks & Data Science Specialist

ThreatXIntel is a startup cyber security company dedicated to safeguarding businesses and organizations against cyber threats. Our range of services includes cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. We aim to offer tailored and cost-effective solutions that cater to the specific requirements of our clients, irrespective of their scale.We are in search of a skilled and proficient Freelance Databricks & Data Science Specialist to become a part of our team. If you possess a strong passion for utilizing cutting-edge data tools, creating impactful dashboards, and implementing machine learning algorithms, we are eager to have you on board!As a Freelance Databricks & Data Science Specialist at ThreatXIntel, your responsibilities will include developing, managing, and optimizing Databricks workflows for data processing and analysis. You will be expected to leverage MLflow to oversee the machine learning lifecycle, from experimentation to deployment. Utilizing Python, PySpark, and SQL, you will be responsible for building scalable data pipelines. Additionally, you will be creating dynamic and insightful dashboards in Databricks and Power BI to visualize key performance indicators. Your role will also involve applying data science libraries and machine learning algorithms to solve intricate business challenges, and collaborating with diverse teams to deliver high-quality, data-driven solutions.The ideal candidate for this position will possess strong expertise in Databricks for data engineering, analytics, and machine learning, as well as proficiency in Python, PySpark, and SQL for data manipulation and analysis. Knowledge of MLflow for managing machine learning workflows is essential, along with hands-on experience in creating dashboards in Databricks and Power BI. A solid understanding of data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and ML algorithms including regression, classification, and clustering is required. Strong analytical and problem-solving skills with meticulous attention to detail are also crucial.Preferred qualifications include experience in working with large datasets and optimizing data pipelines, familiarity with big data tools and technologies, and knowledge of cloud platforms like Azure or AWS.At ThreatXIntel, you will have the opportunity to work remotely with a flexible schedule, collaborate with a dynamic team on exciting data-driven projects, and showcase your expertise while working on impactful solutions.If you are a Databricks & Data Science Specialist with a proven track record of delivering innovative solutions, we are excited to collaborate with you. Apply now and let's create data magic together!,

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