Data Scientist
Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Life at MX
We are driven by our moral imperative to advance mankind and it all starts with our people product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment surrounded by incredible team members who will help you grow MX is the right place for you.
Come build with us and be part of an awardwinning company thats helping create meaningful and lasting change in the financial industry.
Job Summary
As a Data Scientist you will have the opportunity to analyze and extract insights from a worldclass financial data asset. Youll perform indepth consumerlevel analytics lead big data research and discovery projects increase overall system accuracy and automate important (but repetitive) tasks. In addition youll design and execute operational tests and provide recommendations based on careful analysis solid business acumen and superior problemsolving skills. The ability to turn complicated analytic results into digestible and engaging stories will be important for success as will superior ambiguity tolerance. Your strong analytic training and background desire to create new and unique perspectives about consumer financial behavior collaborative spirit and handson approach to solving problems will mark you as an ideal candidate for this role.
Job Duties
Ask refine and answer critical business questions that bolster MXs capabilities and competitive position through the application of advanced analytic methods logical inference and creative problem solving
Build enhance and maintain predictive models and analytic strategies focused on consumer financial behavior
Contribute to or lead modeling projects operational tests (e.g. A/B and multivariate) and data mining and exploratory work to produce actionable and novel insights and recommendations
Partner with stakeholder groups to understand market needs and drive data initiatives beyond our current product portfolio
Engage in independent research projects to uncover and understand new tools methods and approaches that can strengthen MXs data science platform
Create new data assets to support data science project work
Develop short presentations to communicate key messages and findings to colleagues and senior leaders
Job Requirements
Masters degree (Ph.D. preferred) in a quantitative discipline with coursework in statistics econometrics or a related field
3 years of advanced analytics experience focused on improving core business metrics (e.g. revenue EBITDA or net income); extra points for work focused on customer satisfaction and engagement and/or product quality
Eighteen months of practical experience building a variety of predictive/machine learning/statistical models and tools from complex specialized or large data pools; familiarity with the logic of credit scoring would also be helpful
Experience with one or more structured programming languages for statistical and/or numeric computing (e.g. Python R or Scala) and database query languages (e.g. SQL)
Demonstrated competence with (a) one or more of logistic regression generalized linear models or categorical data analysis and (b) multiple machine learning approaches (e.g. kmeans clustering SVM random forest or PCA)
Critical thinking skills intellectual curiosity and a willingness to keep looking for better solutions
Drive to tackle demanding goals with enthusiasm tenacity in the face of stubborn obstacles and interest in pursuing personal and technical development alongside other commitments
Commitment to client needs and satisfaction humility in the face of constructive wellmeaning feedback and production of highquality work that builds trust and confidence with stakeholders
Ability to follow analytical frameworks and project plans to achieve shared goals
Work Environment
In this role a significant aspect of the job involves working in the office for a standard 40hour workweek. We believe that the collaborative nature of our work and the facetoface interactions among team members are essential for fostering a dynamic and productive work environment. Being present in the office enables seamless communication facilitates quick decisionmaking and encourages spontaneous collaboration that contributes to the overall success of our projects. We value the synergy that comes from having our team members physically together allowing for immediate problemsolving idea exchange and team building.
Compensation
The expected earnings for this role could be comprised of a base salary and other forms of cash compensation such as bonus or commissions as applicable.
This pay range is just one component of MXs total rewards package. MX takes a number of factors into account when determining individual starting pay including job and level they are hired into location skillset peer compensation.
**Please note applicants applying for this position must have the legal right to work in India without the need for sponsorship. We are unable to provide work sponsorship for this role and candidates should be able to verify their eligibility to work in the country independently. Proof of eligibility to work in India will be required as part of the hiring process.
At MX we seek to hire candidates who drive results and achieve successful outcomes. We utilize a hybrid work arrangement style which may require both local and remote team members to be in the office when necessary to kick off projects hold cross team strategy meetings or complete key deliverables. Remote team members will travel into the office four times per year and MX covers travel expenses associated with this requirement. Both local and remote employees can take advantage of our incredible office space with onsite perks companypaid meals onsite massage therapists sports simulator gym mothers lounge and meditation room.
MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer we never discriminate based on race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age military or veteran status status as an individual with a disability or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to
Employment Type
Full-Time
