3 Ofertas de Data Scientist en Repuplica Dominica
Data Scientist
Hoy
Trabajo visto
Descripción Del Trabajo
About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we've been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you're taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
*Our Client *
Technology consulting firm specializing in advanced data and digital product solutions for financial services and investment management companies. With a focus on scalable systems, cloud architecture, and analytics-driven platforms, Sprytelab partners with top-tier firms to deliver high-impact solutions at speed.
Job Summary
Results-driven Data Scientist with expertise in portfolio analytics, risk modeling, and performance attribution, specializing in alternative investments and digital assets. Skilled in Python, AWS S3, Snowflake, and Power BI, with proven ability to design scalable data models and pipelines. Adept at turning complex financial data into actionable insights and supporting portfolio management decisions through advanced analytics. Collaborative team player experienced in agile environments, ensuring efficiency and value delivery across cross-functional teams.
Responsibilities
- Build and validate portfolio analytics models related to risk, attribution, and performance
- Work with stakeholders to define data requirements around alternative and digital investment products
- Leverage Python and data science tools to process and analyze large-scale financial data sets
- Develop data flows using AWS (S3) and Snowflake
- Build data visualizations and dashboards using Power BI
- Collaborate with cross-functional team members including data engineers, product owners, and business analysts
- Follow agile best practices with active participation in sprint planning, demos, and reviews
Qualifications And Job Requirements
- Performance Attribution.
- Portfolio Analytics.
- Portfolio Risk.
- Exposure to Alternative Investment Products and Digital Assets.
- Strong Python skills (data processing, analytics, or ML).
- Experience with AWS (S3) for data storage and integration.
- Hands-on with Snowflake (data warehousing, querying).
- Proficiency in Power BI or similar data visualization tools.
What we offer
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You'll Like Working Here
- A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
- Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
- Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now
Data Scientist
Hoy
Trabajo visto
Descripción Del Trabajo
Rol principal:
El Científico de Datos será responsable de diseñar, entrenar y validar modelos cuantitativos que respalden las estrategias algorítmicas y de inversión de Alpha Puesto de Bolsa. Este rol combina análisis estadístico, machine learning y programación avanzada para transformar datos financieros en conocimiento accionable y modelos reproducibles.
Perfil profesional:
- Licenciatura o maestría en Ingeniería, Matemáticas, Economía, Física, Estadística o Ciencias de la Computación.
- 2–3 años de experiencia práctica en ciencia de datos o investigación cuantitativa.
- Deseable experiencia en trading algorítmico, finanzas cuantitativas o instituciones financieras.
Habilidades:
- Mentalidad analítica, rigurosa y orientada a resultados.
- Capacidad para trabajar en equipo y comunicar hallazgos técnicos de forma clara.
- Curiosidad intelectual y enfoque experimental.
- Alto nivel de autonomía, disciplina y organización.
- Inglés técnico avanzado.
Perfil técnico:
- Lenguajes: Python (obligatorio), SQL (deseable), R/MQL5 (plus).
- Librerías: pandas, numpy, scikit-learn, statsmodels, xgboost/lightgbm, matplotlib/plotly, MLflow, SHAP, NannyML.
- Conceptos: validación cruzada, selección de características, optimización de hiperparámetros, series temporales.
- Entorno: Jupyter, GitHub, entornos virtuales, API financieras (yfinance, EODHD).
- Conocimientos complementarios: econometría, estadística aplicada, control de versiones, documentación técnica.
Sobre Alpha Puesto de Bolsa
Somos el puesto de bolsa de mayor impulso del país. Nuestro propósito es transformar positivamente el bienestar financiero de las personas, de sus empresas y de nuestro país, siendo un activo fundamental para lograrlo nuestra #GenteAlpha.
Buscamos personas íntegras, apasionadas por la excelencia, curiosas, colaborativas y creativas.
¿Por qué trabajar con nosotros?
- Contamos con programas de bienestar y desarrollo para nuestros colaboradores.
- Formarás parte de un equipo altamente capacitado, con una visión moderna y enfocada en la mejora continua de nuestra oferta de valor hacia nuestros relacionados.
- Hemos sido reconocidos por nuestras iniciativas internas:
- Posición #18 de Great Place To Work Latinoamérica en el ranking de 2024, galardonada por GPTW Centroamérica y Caribe.
- 4% en el promedio de todas las afirmaciones
y un impresionante 97% en la afirmación clave de "Great Place to Work".
¿Estás interesado? Envía tu CV a
indicando asunto "Vacante DS"
Senior Machine Learning Engineer
Hoy
Trabajo visto
Descripción Del Trabajo
BlackStone eIT, a leading computer software company, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms. You will work closely with cross-functional teams to analyze complex data, identify opportunities for applying machine learning techniques, and lead the development and implementation of solutions to solve challenging business problems.
In this role, you will have the opportunity to work on cutting-edge projects, collaborate with industry experts, and make significant contributions to the company's success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problem-solving skills, and have a proven track record in delivering successful machine learning solutions.
Requirements
- Experience: 3-5 years
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python
- Outstanding analytical and problem-solving skills
- Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- BSc in Computer Science, Mathematics or a similar field; a Master's degree is a plus
Responsibilities
- Study and transform data science prototypes
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Deploy the trained models and build REST APIs
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Study project Requirements
- write technical details at BRDs
- Keep abreast of developments in the field
Benefits
- Paid Time Off
- Work From Home
- Performance Bonus
- Training & Development
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