Senior Analyst – Data Scientist

About the job

**Key Responsibilities** • Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions • Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala) • Solid understanding of time-series forecasting techniques • Good hands-on skills in both feature engineering and hyperparameter optimization • Able to write clean and tested code that can be maintained by other software engineers • Able to clearly summarize and communicate data analysis assumptions and results • Able to craft effective data pipelines to transform your analyses from offline to production systems • Self-motivated and a proactive problem solver who can work independently and in teams • Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions • Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change • Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science • Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment • Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential • Lead discussions at peer review and use interpersonal skills to positively influence decision making • Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices • Facilitate cross-geography sharing of new ideas, learnings, and best-practices **What We Are Looking For** **Required Qualifications** • Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. • 4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting • A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project • Strong experience in Time Series Forecasting and Demand Planning • Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) • Good hands-on skills in both feature engineering and hyperparameter optimization • Experience producing high-quality code, tests, documentation • Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies • Proficiency in statistical concepts and ML algorithms • Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team • Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results • Self-motivated and a proactive problem solver who can work independently and in teams • Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams **Desired Qualifications** • Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred • Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred • Experience in creating CI/CD pipelines for deployment using Jenkins. • Experience implementing MLOPs framework along with understanding of data security • Implementation on ML models • Exposure to visualization packages and Azure tech stack.

Requirements

• Python
• SQL
• Time Series Forecasting
• Machine Learning

Qualifications

• Master's degree in a quantitative field
• Bachelor's degree in engineering
• computer science or related field

Preferred Technologies

• Python
• SQL
• Time Series Forecasting
• Machine Learning