DATA SCIENCE CONSULTANT MIAMI

Management Solutions; Miami (FL); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Ongoing training plan

Clearly defined career plan

Complementary experiences and community activities

Job summary

Management Solutions in Miami is seeking recent graduates or final year students for roles involving statistical data processing and predictive modeling. Ideal candidates will possess knowledge in various modeling techniques and statistical programming languages. The position offers extensive training and professional development within a high-profile consulting environment. Join us to work alongside industry leaders and engage in projects that shape the market on a national and global level.

Qualifications

• Recent graduates or final year students are preferred.
• Solid academic record is required.
• Get-up-and-go attitude, maturity, responsibility, and strong work ethic needed.

Responsibilities

• Process statistical data and perform data mining.
• Develop predictive models using Machine Learning techniques.
• Engage in R&D projects to innovate methodologies.

Skills

Knowledge of modeling techniques

Statistical programming languages (SAS, R, Python, Matlab)

Big data tools and platforms (Hadoop, Hive)

Cloud platforms (AWS, Azure, GCP)

Strong computer skills

Knowledge of other languages

Education

Postgraduate studies in Data Science, Quantitative Finance or similar

Job description

Responsibilities

• Statistical data processing (Data Mining)
• Predictive modeling using Machine Learning and Data Science techniques
• Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo)
• Development, validation and audit of financial, risk, marketing and business-oriented models
• R&D projects

Requirements

• Recent graduates or final year students.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
• Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP).
• Solid academic record.
• Strong computer skills.
• Knowledge of other languages is desirable.
• Get-up-and-go attitude, maturity, responsibility and strong work ethic.
• Strong ability to learn quickly.
• Able to integrate easily into multidisciplinary teams.

Benefits

• Working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry.
• Ongoing training plan, with approximately 10% of business turnover spent in training. Specialist knowledge courses, external expert courses, professional skills courses and language courses. Last year our staff as a whole received over 400,000 hours of training spanning more than 160 courses.
• Clearly defined career plan. Internal promotion based solely on merit. Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.
• Complementary experiences. University: we maintain a close relationship with the world’s most prestigious universities. Social Action: we organize more than 30 community support activities. Sports Club: internal and external tournaments.

For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at: www.managementsolutions.com

At Management Solutions we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.