Responsibilities Build rules, algorithms, and machine learning models to identify and extract valuable business insights and 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 to optimize overall project goals. Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Business Analytics, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; or a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Business Analytics, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience. Of the required experience, must have 1 year of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing language SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Using SQL or Spark to query, explore, and manipulate data from Apache Hive and relational database management system including MySQL, Microsoft SQL Server, or PostgreSQL; Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and Building, tuning, and validating statistical models for regression and classification problems in Python or R. Employer: TT Commerce & Global Services LLC Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $174304 - $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 $174304 - $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.