HopHR Careers

We're currently on the lookout for an experienced Machine Learning Engineer who can apply innovative AI solutions to address business challenges in the Market Research and Retail industry.

The company is a global leader in consumer marketing insights. They leverage decades of global experience and category expertise, a unique behavioral framework, cutting-edge AI technology, and a digital-first strategy to help brands maximize the potential of their marketing efforts, particularly at the point of transaction.

The ideal candidate should have a deep understanding of Artificial Intelligence and the ability to design, develop and deploy AI solutions that address business problems in the Market Research and Retail space.

They must have a core and demonstrable competency in using Python for Computer Vision and NLP with an understanding of Hypothesis Testing and ML model explainability. Familiarity with MLOps concepts and best practices is a must.

Responsibilities:

• Develop, validate, fine-tune, diagnose and audit new and existing Machine Learning models and pipelines.
• Conduct experiments and analyses to evaluate hypotheses using the scientific method.
• Develop scalable and efficient workflows and solutions for production environments.
• Perform model inference in timely response to ad-hoc requests.
• Develop and maintain data pipelines and infrastructure to support AI solutions.
• Create and maintain thorough technical documentation of the entire ML Lifecycle

• Bachelor’s degree in Computer Science, Mathematics, Statistics or a related field.
• At least 5 years of experience using Statistics and Machine Learning to accomplish quantifiable goals.
• Expertise in Machine and Statistical Learning techniques with an emphasis on Transfer and Reinforcement Learning.
• Strong knowledge of Deep Learning frameworks and tools.
• Command of Big Data tools and techniques.
• Demonstrable knowledge of Python code development, refactoring and automation within shell environments.
• Competence in Containerization and ML Pipeline orchestration.
• Competence in using SQL for data transformation and retrieval.
• Familiarity developing ML with Fast AI.
• Excellent communication and interpersonal skills.
• Able to thrive in a collaborative and fast-paced environment with minimal supervision.
• Knowledge of Digital Transformation concepts and workflows within Cloud ML environments like Vertex AI, SageMaker and Azure AI.
• Familiarity with H2o’s Driverless AI and Steam not required, is a plus.

POSITION SUMMARY:

This position is responsible for planning, managing and controlling the activities of a team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Performing complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Constructing predictive models, algorithms and probability engines to support data analysis or product functions. Verifying model and algorithm effectiveness based on real-world results. Designing experiments and methodologies to generate and collect data for business use. Responsible for aiding tactical decision-making by using predictive and prescriptive remodeling; and extracting actionable insights by identifying patterns in structured and unstructured data.

JOB PURPOSE:

Deliver high-quality internal analytics/data science solutions. Manage analytics delivery plans, scope (number and type of analyses, assumptions), and timelines. Lead and manage the design and optimization of predictive algorithms and/or processes using advanced statistical/mathematical forecasting approaches. Drive the implementation of the solution through dedicated resources as well through coordination with other internal delivery product teams and cross-functional teams. Productize proven algorithms promptly. Measure and improve the quality of analytics solutions on an ongoing basis. Closely work with business partners and lines of business to enhance outputs, troubleshoot data sourcing issues, etc. Plan, manage and control the activities of a team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Oversee complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Manage predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Manage the design experiments and methodologies to generate and collect data for business use. Leading initiatives to analyze complex business problems and issues using data from internal and external sources. Communicate and interact effectively and professionally with staff, coworkers, management, customers, etc. Manage staff including but not limited to: hiring, performance administration, pay administration, talent management, professional development, training and counseling, maintaining knowledge of company programs and policies, and change management. Serve as a liaison and support the communications and strategy to the team and stakeholders. Oversee the budget and operations of the strategy team.

REQUIRED QUALIFICATIONS:

•  4 - 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.
• 3 years of management and/or leadership experience.
• Leadership and/or management experience.
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• Proficiency with Microsoft applications including Access, Excel, Word and Power Point.
• Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
• A track record of independently delivering or leading the delivery of a complex analytics or data science project.
• Mentoring, managing, or leading junior analytics or data science staff.

• Significant healthcare experience.
• Knowledge of the latest NLP models or capabilities such as summarization, question answering, and voice to text.
• Experience of deploying deep learning models to address business problems.

As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods.

Due to the nature of work performed, U.S. citizenship is required.

Security Clearance: Active TS/SCI CI Poly is required at the time of hire.

Essential Functions:

• Exploration, cleaning, and wrangling data
• Work with clients and co-workers to refine understanding of the business problem at hand
• Writing reusable code in R, Python, Java, Scala, SQL, or other languages to refine through code review and discussion.
• Applying statistics to understand significance of different attributes.

• BS or MS in Operation Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• Must be a US Citizen with ability to undergo and obtain further Government background checks and/or clearance.
• Security Clearance: Active TS/SCI CI Poly is required at the time of hire.

• 3+ years of experience in Data Science role.
• Proficient in one or more: Java, C++, Python, R.
• Experience applying Data Science methods to real-world problems.
• Experience with data wrangling, advanced statistical data analysis, and modeling.
• Ability to communicate complex models and concepts in non-technical language.
• Familiarity with commercial and open-source data science software.
• Familiarity with relational databases.

As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods.

Due to the nature of work performed, U.S. citizenship is required.

Security Clearance: Active TS/SCI FS Poly is required at the time of hire.

Essential Functions:

• Support algorithm development
• Support queries from analysts.
• Exploration, cleaning, and wrangling data
• Work with clients and co-workers to refine understanding of the business problem at hand
• Writing reusable code in R, Python, Java, Scala, SQL, or other languages to refine through code review and discussion.

• BS or MS in Operation Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.

• Security Clearance: Active TS/SCI FS Poly is required at the time of hire.
• 7+ years of experience in Data Science role.
• Experience with Python and Machine Learning.
• Experience with AWS and SQL.
• Experience with Java