Zs Associates
Applied AI Scientist
Zs Associates, Washington, District of Columbia, us, 20022
ZS
is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that’s why here your ideas elevate actions, and here you’ll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives.What You’ll DoDevelop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information.Evaluate emerging datasets and technologies for our analytical platform.Own the development of select assets/accelerators for efficient scaling of capability.Contribute to the thought leadership of the firm by helping in researching the evolving topics and publishing them.What You’ll BringBachelor's or master's degree or PhD in STEM from a premier institute, and strong academic performance with analytic and quantitative coursework is required.Knowledge of programming - Python (Deep Expertise), Pyspark.Experience in engineering features from a variety of data sources.Experience in ML platforms like Dataiku, Sagemaker, MLFlow or other platforms.Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.).Expertise in developing one or more class of machine learning algorithms (time series, classification, regression, etc. - preferably in a product environment).Additional SkillsExcellent oral and written communication skills.Strong attention to detail, with a research-focused mindset.Excellent critical thinking and problem-solving skills.High motivation, good work ethic and maturity.Perks & Benefits:ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.Considering applying?At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.To Complete Your Application:Candidates must possess or be able to obtain work authorization for their intended country of employment.ZS is committed to providing and maintaining a safe workplace. In order to keep its employees safe, ZS recommends that all its employees and contractors be fully vaccinated against COVID-19. Proof of vaccination can be voluntarily provided upon acceptance of offer of employment.NO AGENCY CALLS, PLEASE.Find Out More At:
www.zs.com
#J-18808-Ljbffr
is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that’s why here your ideas elevate actions, and here you’ll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives.What You’ll DoDevelop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information.Evaluate emerging datasets and technologies for our analytical platform.Own the development of select assets/accelerators for efficient scaling of capability.Contribute to the thought leadership of the firm by helping in researching the evolving topics and publishing them.What You’ll BringBachelor's or master's degree or PhD in STEM from a premier institute, and strong academic performance with analytic and quantitative coursework is required.Knowledge of programming - Python (Deep Expertise), Pyspark.Experience in engineering features from a variety of data sources.Experience in ML platforms like Dataiku, Sagemaker, MLFlow or other platforms.Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.).Expertise in developing one or more class of machine learning algorithms (time series, classification, regression, etc. - preferably in a product environment).Additional SkillsExcellent oral and written communication skills.Strong attention to detail, with a research-focused mindset.Excellent critical thinking and problem-solving skills.High motivation, good work ethic and maturity.Perks & Benefits:ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.Considering applying?At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.To Complete Your Application:Candidates must possess or be able to obtain work authorization for their intended country of employment.ZS is committed to providing and maintaining a safe workplace. In order to keep its employees safe, ZS recommends that all its employees and contractors be fully vaccinated against COVID-19. Proof of vaccination can be voluntarily provided upon acceptance of offer of employment.NO AGENCY CALLS, PLEASE.Find Out More At:
www.zs.com
#J-18808-Ljbffr