Data Scientist

Talentify; Sacramento (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Perfict Global in Sacramento, CA is seeking a senior data scientist to design and implement a recommendation system using collaborative filtering, clustering, and Gen AI techniques, leveraging Databricks on cloud platforms.

You will manipulate large datasets with Python and SQL, develop data architectures, and evaluate models such as trees, neural networks, and text mining, while communicating insights across teams. Prior healthcare data experience is a plus.

Qualifications

• 5-7 years of experience in data manipulation and statistical model building.
• Master's or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience with statistical and data mining techniques, including GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Expertise in advanced machine learning algorithms and statistical methods, including regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Databricks
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, and Spark
• Proficiency in visualizing/presenting data using tools: PowerBI, Tableau, Business Objects, D3, ggplot, Flask, Django etc.
• Experience working with healthcare data

Responsibilities

• Develop and implement recommendation system using collaborative filtering, clustering strategies, and advanced methodologies, including Generative AI.
• Apply strong problem-solving skills to machine learning challenges.
• Utilize Databricks on cloud (Azure/Google/AWS) for data processing and analytics.
• Manipulate and analyze large data sets using statistical computer languages (Python, SQL, etc.).
• Design and develop data architectures to support data-driven decision-making.
• Implement a variety of machine learning techniques (decision trees, artificial neural networks, Gen AI, etc.) and assess their real-world advantages and drawbacks.
• Apply advanced statistical techniques and concepts (regression, distribution properties, statistical tests, etc.) and leverage them in practical applications.
• Communicate findings and insights effectively across teams through excellent written and verbal communication skills.
• Continuously learn and master new technologies and techniques to stay ahead in the field.

Skills

Data manipulation

Statistical model building

GLM/Regression

Random Forest

Boosting

Neural networks

Clustering

Text mining

Social network analysis

Machine learning algorithms

Python

SQL

Education

Master's or Ph.D. in Statistics/Mathematics/Computer Science

Tools

Databricks

Map/Reduce

Hadoop

Hive

Spark

PowerBI

Tableau

D3

ggplot

Flask/Django

Job description

About Us:

Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.

We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!!

Job description:

Responsibilities:

• Develop and implement recommendation system using collaborative filtering, clustering strategies, and advanced methodologies, including Generative AI.
• Apply strong problem-solving skills to machine learning challenges.
• Utilize Databricks on cloud (Azure/Google/AWS) for data processing and analytics.
• Manipulate and analyze large data sets using statistical computer languages (Python, SQL, etc.).
• Design and develop data architectures to support data-driven decision-making.
• Implement a variety of machine learning techniques (decision trees, artificial neural networks, Gen AI, etc.) and assess their real-world advantages and drawbacks.
• Apply advanced statistical techniques and concepts (regression, distribution properties, statistical tests, etc.) and leverage them in practical applications.
• Communicate findings and insights effectively across teams through excellent written and verbal communication skills.
• Continuously learn and master new technologies and techniques to stay ahead in the field.

Required Skills:

• 5-7 years of experience in data manipulation and statistical model building.
• Master's or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience with statistical and data mining techniques, including GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Expertise in advanced machine learning algorithms and statistical methods, including regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Databricks
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, and Spark
• Proficiency in visualizing/presenting data using tools: PowerBI, Tableau, Business Objects, D3, ggplot, Flask, Django etc.
• Experience working with healthcare data