Experienced Senior Data Scientist – Advanced Data Analytics, Machine Learning, and Cloud Computing Expertise for Strategic Business Insights and Decision Making at arenaflex
Introduction to arenaflex and the Industry
arenaflex is a leading integrated healthcare, pharmacy, and retail company with a rich history of caring for communities. With a strong presence in the industry, we are committed to creating more satisfied lives through better health. Our mission is to provide high-quality services and products that meet the evolving needs of our customers and patients. As a Senior Data Scientist at arenaflex, you will play a critical role in driving business growth and improvement through advanced data analytics, machine learning, and cloud computing expertise.
Job Responsibilities
As a Senior Data Scientist at arenaflex, you will be responsible for applying complex data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. Your key responsibilities will include:
Building models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods
Innovating by adapting to new modeling strategies and procedures
Understanding the business context behind large datasets and developing meaningful analytic solutions
Applying analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining
Programming using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
Performing machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases
Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection
Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake
Utilizing software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies
Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support
Communicating verbally and in writing to business clients and management team with diverse levels of technical expertise, educating them about our systems, as well as sharing insights and recommendations
Essential Qualifications
To be successful in this role, you will need:
Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative or computational capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational capabilities
M.S. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar
At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models
Advanced experience in SQL, Python, PySPark or other languages
Advanced degree skill in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven decisions
Experience using decision trees, and building classifiers
Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal components)
Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores and serving engines
Experience designing and analyzing A/B experiments
Advanced degree skill in conveying rigorous technical standards and issues to non-experts
Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results
Experience effectively communicating technical solutions and advocating to research scientists, engineering teams and business audiences
At least 2 years of experience contributing to financial decisions in the workplace
At least 2 years of direct management, indirect management and/or cross-functional team management
Willing to travel up to/as a minimum of 10% of the time for business purposes (within the country and abroad)
Preferred Qualifications
While not required, the following qualifications are preferred:
Ph.D. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar
Experience working with IoT, and Edge AI is a plus
Experience in Reinforcement Learning is a plus
Experience in Healthcare is a plus
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
Technical skills: Advanced expertise in data science, machine learning, and cloud computing
Business acumen: Understanding of business operations and ability to provide insights and recommendations that drive business growth and improvement
Communication skills: Ability to communicate complex technical concepts to non-technical stakeholders
Collaboration skills: Ability to work effectively with cross-functional teams, including finance, researchers, software developers, and business leaders
Problem-solving skills: Ability to analyze complex problems and develop creative solutions
Adaptability: Ability to adapt to changing business needs and priorities
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you will have access to:
Professional development opportunities: Training and development programs to enhance your technical and business skills
Mentorship: Opportunities to work with experienced professionals who can provide guidance and support
Cross-functional collaboration: Opportunities to work with different teams and functions to develop a deeper understanding of the business
Innovation: Opportunities to develop and implement new ideas and solutions that drive business growth and improvement
Work Environment and Company Culture
At arenaflex, we are committed to creating a positive and inclusive work environment that supports the well-being and success of our employees. Our company culture is built on the following values:
Respect: We value and respect each other's differences and perspectives
Integrity: We operate with integrity and transparency in all our interactions
Collaboration: We work together to achieve common goals and objectives
Innovation: We encourage innovation and creativity in all aspects of our work
Customer focus: We are committed to delivering high-quality services and products that meet the evolving needs of our customers and patients
Compensation, Perks, and Benefits
At arenaflex, we offer a competitive compensation package that includes:
Salary: $30-45/hour
Benefits: Company-paid life insurance, medical, prescription drugs, dental and vision, retirement savings plan, employee stock purchase plan, paid time off, holidays, paid parental leave, transportation benefit plan, employee store discount, voluntary life and personal accident insurance
Perks: Opportunities for professional development, mentorship, and innovation
Conclusion
If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. As a Senior Data Scientist, you will have the opportunity to work with a talented team of professionals who are passionate about using data science and machine learning to drive business growth and improvement. Apply now to join our team and contribute to the success of arenaflex!
Apply Now
arenaflex is a leading integrated healthcare, pharmacy, and retail company with a rich history of caring for communities. With a strong presence in the industry, we are committed to creating more satisfied lives through better health. Our mission is to provide high-quality services and products that meet the evolving needs of our customers and patients. As a Senior Data Scientist at arenaflex, you will play a critical role in driving business growth and improvement through advanced data analytics, machine learning, and cloud computing expertise.
Job Responsibilities
As a Senior Data Scientist at arenaflex, you will be responsible for applying complex data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. Your key responsibilities will include:
Building models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods
Innovating by adapting to new modeling strategies and procedures
Understanding the business context behind large datasets and developing meaningful analytic solutions
Applying analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining
Programming using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
Performing machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases
Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection
Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake
Utilizing software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies
Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support
Communicating verbally and in writing to business clients and management team with diverse levels of technical expertise, educating them about our systems, as well as sharing insights and recommendations
Essential Qualifications
To be successful in this role, you will need:
Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative or computational capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational capabilities
M.S. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar
At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models
Advanced experience in SQL, Python, PySPark or other languages
Advanced degree skill in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven decisions
Experience using decision trees, and building classifiers
Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal components)
Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores and serving engines
Experience designing and analyzing A/B experiments
Advanced degree skill in conveying rigorous technical standards and issues to non-experts
Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results
Experience effectively communicating technical solutions and advocating to research scientists, engineering teams and business audiences
At least 2 years of experience contributing to financial decisions in the workplace
At least 2 years of direct management, indirect management and/or cross-functional team management
Willing to travel up to/as a minimum of 10% of the time for business purposes (within the country and abroad)
Preferred Qualifications
While not required, the following qualifications are preferred:
Ph.D. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar
Experience working with IoT, and Edge AI is a plus
Experience in Reinforcement Learning is a plus
Experience in Healthcare is a plus
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
Technical skills: Advanced expertise in data science, machine learning, and cloud computing
Business acumen: Understanding of business operations and ability to provide insights and recommendations that drive business growth and improvement
Communication skills: Ability to communicate complex technical concepts to non-technical stakeholders
Collaboration skills: Ability to work effectively with cross-functional teams, including finance, researchers, software developers, and business leaders
Problem-solving skills: Ability to analyze complex problems and develop creative solutions
Adaptability: Ability to adapt to changing business needs and priorities
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you will have access to:
Professional development opportunities: Training and development programs to enhance your technical and business skills
Mentorship: Opportunities to work with experienced professionals who can provide guidance and support
Cross-functional collaboration: Opportunities to work with different teams and functions to develop a deeper understanding of the business
Innovation: Opportunities to develop and implement new ideas and solutions that drive business growth and improvement
Work Environment and Company Culture
At arenaflex, we are committed to creating a positive and inclusive work environment that supports the well-being and success of our employees. Our company culture is built on the following values:
Respect: We value and respect each other's differences and perspectives
Integrity: We operate with integrity and transparency in all our interactions
Collaboration: We work together to achieve common goals and objectives
Innovation: We encourage innovation and creativity in all aspects of our work
Customer focus: We are committed to delivering high-quality services and products that meet the evolving needs of our customers and patients
Compensation, Perks, and Benefits
At arenaflex, we offer a competitive compensation package that includes:
Salary: $30-45/hour
Benefits: Company-paid life insurance, medical, prescription drugs, dental and vision, retirement savings plan, employee stock purchase plan, paid time off, holidays, paid parental leave, transportation benefit plan, employee store discount, voluntary life and personal accident insurance
Perks: Opportunities for professional development, mentorship, and innovation
Conclusion
If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. As a Senior Data Scientist, you will have the opportunity to work with a talented team of professionals who are passionate about using data science and machine learning to drive business growth and improvement. Apply now to join our team and contribute to the success of arenaflex!
Apply Now