Responsibilities

Build rules, algorithms, and machine learning (ML) models to identify and extract valuable business insights/information from raw data and data sources. Analyze large amounts of information to discover trends and patterns in data through probability and statistical analysis and automate the collection processes. Build predictive models and machine-learning algorithms. Present information using data visualization techniques. Develop classification and regression algorithms using machine learning techniques. Propose solutions and strategies to business challenges. Collaborate with cross-functional teams (e.g., data engineers, domain experts) to optimize overall project goals. Design, conduct, and analyze A/B experiments. Define and implement key marketing measurement frameworks, proactively identifying opportunities to improve campaign effectiveness. Develop audience targeting strategies based on data science methodologies to enhance marketing precision and impact. Develop knowledge of marketing strategy and experimentation best practices to expand analytical capability and business impact. Support marketing research by applying advanced analytics to answer critical business questions and uncover market opportunities. Influence stakeholders and drive impact without formal authority by leveraging data-driven insights and strategic recommendations.

Qualifications

Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Data Science, Analytics, Statistics, Mathematics, Finance or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Data Science, Analytics, Statistics, Mathematics, Finance or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience in each of the following: Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification; Analyzing large quantities of data to detect anomalies using Python and statistical analysis techniques; Developing machine learning models in Python; Providing data-driven insights and recommendations to mitigate insufficiencies models based on model performance, regulations, and business requirements; Designing, maintaining, and optimizing reporting dashboards and data pipelines; and Analyzing metric movements, identifying drivers, and deriving insights. Travel Requirement: Domestic and International travel required up to 10%. Employer: TT Commerce & Global Services LLC Type: Full time, 40 hours/week Location: New York, NY Salary Range: $169541 - $240000 per year To Apply, click the apply button below. Contact [redacted] if you have difficulty submitting resume through the website.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $169541 - $240000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.