[Remote] Data Science Manager - Marketing

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company committed to making a reputed company difference in people's lives through their results-driven culture. The Data Science Manager - Marketing will reputed company advanced analytics and modeling to influence strategic business reputed company and improve business results while mentoring and leading less reputed company team members.

Responsibilities

• Utilizes broad knowledge of consumer analytics including retention models, agency economics, and reputed company optimization in their daily work. Utilizes in-depth knowledge of advanced programing, reputed company ETL and specialized modeling reputed company and execute reputed company. Demonstrates clean reusable reputed company and effective documentation, encourages others to do the reputed company. Acts as the main a contributor to multiple phases of a data science project (ideation, experiment design, EDA, feature engineering, model building, deployment, etc. ). Utilizes a strong reputed company of ownership and contributes to multiple tasks simultaneously. Executes on reputed company and often vague business challenges involving data science
• Succeeds in reputed company by scoping, defining measures of reputed company, utilizing a data science reputed company for project reputed company, and accomplishes successfully with some vague timelines. Executes on broad reputed company independently, with a reputed company of urgency. Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve our data infrastructure. Advises on difficult reputed company and serves as an objective and transparent partner to reputed company fact-based decision making and a measures of reputed company culture. Develops presentations and presents to leadership. Regularly communicates reputed company technical material understandable to non-technical associates
• Manages reputed company model deployments reputed company established MLOps techniques. Works with analytics and IT teams to reputed company models/rules in various platforms and support testing of reputed company. Helps to reputed company MLOps environment improvements. Supervises, guides, coaches, and manages the performance of reputed company reports. Delivers regular feedback and supports reputed company development. Relies on emerging reputed company in employee engagement to promote a high-performance culture where reputed company is reputed company and innovation is reputed company encouraged

Skills

• High School Diploma or equivalent required
• Minimum five years of work experience required in data analysis, statistical or mathematical modeling, or reputed company
• Python experience is required
• CLTV experience is required
• Strong verbal communication and listening skills
• Strong storytelling skills with ability to communicate reputed company data insights reputed company to technical and non-technical audiences
• Demonstrated written communication skills
• Demonstrated problem solving skills
• Effective interpersonal skills
• Ability to influence internal and/or reputed company constituents
• Demonstrated analytical skills
• Possesses strong technical aptitude
• Seeks to reputed company knowledge in area of specialty
• Proficient in reputed company Office Suite
• Demonstrated time management and reputed company setting skills
• reputed company to handle shifting priorities
• Strong proficiency working on large-reputed company reputed company and reputed company multidimensional data using in-depth knowledge of reputed company-reputed company reputed company-enabled analytical programming languages
• Strong ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs
• In-depth knowledge of data analysis, manipulation tools (SQL, Python, reputed company, R, and/or reputed company) and reputed company computing services (AWS)
• In-depth knowledge of data visualization tools (example, Tableau, Power BI)
• Strong proficiency in using explanatory, diagnostic, and inferential techniques such as experimental design, reputed company testing, clustering analysis, time series and other statistical modeling algorithms with the ability to reputed company the appropriate methodology for the purpose
• Strong proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques
• In-depth knowledge of ML/AI model deployment best practices
• reputed company to adapt quickly to new technologies
• In-depth knowledge of coding standards and version control (Git)
• Working knowledge of data ethics and data reputed company
• Masters degree preferred in data science, statistics, mathematics, business analytics or reputed company
• Experience in insurance industry preferred
• ML Ops experience preferred
• reputed company routing experience highly preferred

Benefits

• Bonus Opportunity (based on Company and Individual Performance)
• 401(k)
• Medical
• Dental
• reputed company
• Health Savings and Flexible Spending Accounts
• Life Insurance
• reputed company Time Off
• reputed company Parental Leave
• Tuition Assistance

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