LinkedIn Job Posting

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Job Description

We are seeking a highly motivated Data Scientist/Econometrician specialized in Predictive Analytics to join our team. You will be responsible for developing and implementing advanced forecasting models to analyze vast datasets and generate accurate predictions. Your expertise in machine learning and data science will be instrumental in driving data-driven decision-making across the organization.

Responsibilities

• Develop and implement machine learning models for forecasting business metrics.
• Explore and analyze large, complex datasets to identify trends, patterns, and anomalies.
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights.
• Evaluate and optimize existing forecasting models for improved accuracy and performance.
• Stay up-to-date with the latest advancements in machine learning and forecasting techniques.

Qualifications

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• Fluency in Python programming language and data manipulation libraries (Pandas, NumPy).
• Proven experience in developing and deploying machine learning models using frameworks like PyTorch or TensorFlow.
• Solid understanding of statistical modeling and time series analyses.

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Preferred Qualifications:

• Advanced degree in computer science, statistics, mathematics, or a related field.
• A passion for staying ahead in the rapidly evolving field of AI and a desire to constantly explore new techniques and tools.
• Experience with cloud computing platforms (AWS, GCP, Azure).
• Knowledge of distributed computing frameworks (Dask, Spark).

‍Work Authorization

Applicants MUST be authorized to work in Romania, without requiring visa sponsorship now or in the future.‍

Language

Applicants MUST be fluent in English.‍

Work Location

This position is fully remote.

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LinkedIn Job Posting

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Job Description

We are seeking a meticulous and detail-oriented Data Validation Specialist to ensure the accuracy and integrity of our datasets. The ideal candidate will have a keen eye for inconsistencies within large datasets and the technical experience to correct them. Additionally, the ideal candidate will have experience conducting root cause analyses into issues and delivering corrective actions. This role is crucial in maintaining data quality and supporting data-driven decision-making processes.

Responsibilities

• Develop and implement data validation processes and procedures.
• Conduct thorough data quality assessments and root cause analyses to identify errors, inconsistencies, and anomalies.
• Lead process improvement efforts to drive systemic corrective actions.
• Cleanse and standardize data to ensure consistency and accuracy while meeting delivery targets.
• Collaborate with data scientists to understand data requirements and expectations.
• Develop and maintain data validation documentation and reports.

Qualifications

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• Proficiency in data manipulation and analysis tools (Python, Pandas, SQL).
• Proven experience conducting deep dives into data problems and driving process improvements.
• Strong analytical and problem-solving skills.
• Understanding of data quality metrics and standards

Preferred Qualifications:

• Six Sigma or similar process improvement certification.
• Knowledge of statistical analysis and data visualization techniques.
• Experience with data governance and data quality frameworks.

Work Authorization

Applicants MUST be authorized to work in Romania, without requiring visa sponsorship now or in the future.

Language

Applicants MUST be fluent in English.

Work Location

This position is fully remote.

Job Description

We are looking for a data scientist to join our team immediately to

• Explore and visualize massive amounts of complex customer data.
• Estimate statistical/Econometric/Machine Learning models to evaluate Causal relationships.
• Predict customer behavior and economic trends using the latest AI and ML approaches.
• Work closely with our data engineering team in optimizing data infrastructure for various analytic tasks, improve training sets.
• Investigate anomalies, functionalize data wrangling, and optimize the performance of existing models.

Your Experience

• A strong academic education in a quantitative applied field (Computer Science, Econometrics, Statistics, Operations Research etc.).
• Proven expertise in data science and analytics, machine learning/AI.
• Deep understanding of machine learning/econometric/statistical algorithms for solving complex problems: regression modeling, high-dimensional modeling, causal inference, randomized controlled trials, treatment effects estimation, time series modeling, random forests, deep learning.
• Expertise in Python and appropriate data science libraries.
• Proficient with database querying (SQL), manipulating and analyzing large, high dimensional, structured, & unstructured datasets.
• Proven ability to communicate verbally and in writing to technical peers.

Your Personality

• You are curious about new possibilities and passionate about exploring them.
• You are a systematic thinker comfortable working backwards from business objectives to develop technical solutions.
• You are comfortable developing solutions and products that might exceed a data scientist’s typical scope of work.
• You are a rigorous and detail-oriented scientific thinker critical of the status quo.
• You value collaboration and develop solutions through partnership with other subject matter experts.
• You enjoy developing new solutions to complex problems.

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We are hiring worldwide, so we cannot add specific compensation here. Be sure we are paying competitively.

Job Description

We are looking for a data engineer to join our team immediately to

• Design, develop, and maintain ML/AI data pipelines.
• Partner with data scientists, product managers, and clients to assess data needs.
• Build databases and data models to support new products.
• Explore and visualize massive amounts of complex customer data.
• Work closely with our data scientist team in optimizing data infrastructure for various analytic tasks; improve training sets, investigate anomalies, functionalize data wrangling, and optimize the performance of existing models.

Your Experience

• A strong academic education in relevant fields (Computer Science, Data Analytics, Data Science, Software Engineering, etc.).
• Proven experience developing data pipeline design, implementation, and maintenance.
• Demonstrated track record of understanding requirements, clarifying needs, and translating needs into robust architectures.
• Expertise in data science and analytics, machine learning/AI.
• Expertise in Python and appropriate data science libraries.
• Proficient with database querying (SQL), manipulating and analyzing large, high dimensional, structured, & unstructured datasets.
• Deep understanding of machine learning/econometric/statistical algorithms for solving complex problems: regression modeling, high-dimensional modeling, causal inference, time series modeling, random forests, deep learning.
• Experience with data visualization tools such as AWS Grafana, Power BI, etc.
• Proven ability to communicate verbally and in writing to technical peers.

Your Personality

• You are curious about new possibilities and passionate about exploring them.
• You are a systematic thinker comfortable working backwards from business objectives to develop technical solutions.
• You are comfortable developing solutions and products that might exceed a data engineer’s typical scope of work.
• You are a rigorous and detail-oriented scientific thinker critical of the status quo.
• You value collaboration and develop solutions through partnership with other subject matter experts.
• You enjoy developing new solutions to complex problems.

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We are hiring worldwide, so we cannot add specific compensation here. Be sure we are paying competitively.