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Data Scientist

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Canada, California (USA), United States

Offer summary

Qualifications:

5-7 years in data manipulation, Master's or Ph.D. in related field, Proven experience with statistical techniques, Expertise in advanced machine learning algorithms, Experience with distributed data tools.

Key responsabilities:

Develop recommendation systems using AI
Apply problem-solving to machine learning challenges
Utilize Databricks for data processing and analytics
Design data architectures for decision-making
Communicate insights effectively across teams

Perfict Human Resources, Staffing & Recruiting Scaleup https://www.perfictglobal.com/

51 - 200 Employees

See more Perfict offers

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