5 Remote Junior Data Scientist Predictive Analytics jobs in whatjobs
Remote Junior Data Scientist - Predictive Analytics
Posted 17 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm focused on leveraging data to drive business intelligence and strategic decision-making, is seeking an ambitious and technically adept Junior Data Scientist to join their fully remote analytics team. This role offers an exceptional opportunity for a recent graduate or early-career professional to gain hands-on experience in building and deploying predictive models, analyzing complex datasets, and contributing to data-driven insights. You will work closely with senior data scientists and business stakeholders, developing your skills in a collaborative and forward-thinking environment.
Responsibilities:
Qualifications:
This is an outstanding entry-level opportunity for motivated individuals passionate about data science to launch their careers in a fully remote setting. If you are eager to apply your academic knowledge to real-world challenges and contribute to innovative data solutions, we encourage you to apply.
Responsibilities:
- Assist in the development, implementation, and validation of machine learning models for predictive analytics.
- Clean, transform, and preprocess large, complex datasets to prepare them for analysis and modeling.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
- Support the design and execution of A/B tests and other experiments to evaluate model performance and business impact.
- Visualize data and model results using various tools and techniques to communicate findings effectively.
- Collaborate with senior data scientists to understand project requirements and contribute to the overall analytical approach.
- Document methodologies, code, and findings thoroughly to ensure reproducibility and knowledge sharing.
- Stay up-to-date with the latest advancements in data science, machine learning, and statistical modeling.
- Participate in team meetings and contribute to discussions on data strategy and analytical approaches.
- Assist in the deployment and monitoring of predictive models in production environments.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Familiarity with SQL for database querying.
- Excellent problem-solving skills and a keen analytical mindset.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently, manage time effectively, and contribute as part of a remote team.
- A genuine passion for data and a desire to learn and grow in the field of data science.
- Previous internship or project experience in data analysis or machine learning is a plus.
This is an outstanding entry-level opportunity for motivated individuals passionate about data science to launch their careers in a fully remote setting. If you are eager to apply your academic knowledge to real-world challenges and contribute to innovative data solutions, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
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Remote Junior Data Scientist - Predictive Analytics
Posted 16 days ago
Job Viewed
Job Description
Our client is looking for enthusiastic and bright individuals to join their team as Remote Junior Data Scientists, focusing on predictive analytics. This is a fantastic fully remote internship opportunity for recent graduates eager to apply their academic knowledge to real-world business challenges. You will work under the guidance of experienced data scientists to collect, clean, analyze, and interpret large datasets, developing models to predict future trends and outcomes. This role requires a strong foundation in statistics, programming, and machine learning concepts, coupled with excellent problem-solving skills and a proactive learning attitude. You will gain invaluable experience in a collaborative virtual environment, contributing to data-driven decision-making across various business functions.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preparing data from various sources for analysis.
- Develop and implement statistical models and machine learning algorithms for predictive analytics.
- Conduct exploratory data analysis (EDA) to uncover insights and identify patterns.
- Visualize data and model results to communicate findings effectively to stakeholders.
- Collaborate with senior data scientists and business analysts to understand project requirements.
- Document code, methodologies, and findings thoroughly.
- Assist in testing and validating model performance.
- Stay up-to-date with the latest advancements in data science and machine learning techniques.
- Participate in team meetings and contribute to discussions on data-related challenges.
- Support the development of dashboards and reports to track key metrics.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with SQL and database management.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, suitable for a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- A demonstrable passion for data and its application in solving business problems.
- Previous internship or project experience in data analysis or machine learning is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Remote Junior Data Scientist - Predictive Analytics
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking an ambitious and enthusiastic Remote Junior Data Scientist to join their innovative team. This is a fully remote internship designed for individuals passionate about data analysis and predictive modeling. You will work closely with senior data scientists and analysts, contributing to projects focused on extracting actionable insights from large datasets. Your responsibilities will include data cleaning, preprocessing, feature engineering, and assisting in the development and evaluation of machine learning models. You will gain hands-on experience with various programming languages such as Python or R, and utilize libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. The Junior Data Scientist will help design and conduct A/B tests, analyze experiment results, and communicate findings through clear visualizations and reports. This role requires a strong foundation in statistical concepts, a logical mindset, and a keen interest in machine learning algorithms. Collaboration with team members will occur via virtual communication tools, necessitating effective remote teamwork and communication skills. You will have the opportunity to learn about different industries and apply data science techniques to solve real-world business problems. We are looking for a curious and driven individual eager to develop their skills in a supportive and challenging remote environment. This internship offers a fantastic pathway to building a career in data science, providing practical experience and mentorship.
Responsibilities:
Responsibilities:
- Assist in cleaning, transforming, and preparing large datasets for analysis.
- Develop and implement data visualization techniques to present findings.
- Support the development and testing of machine learning models.
- Conduct exploratory data analysis (EDA) to identify patterns and trends.
- Write and optimize code in Python or R for data manipulation and analysis.
- Collaborate with senior data scientists on ongoing projects.
- Document methodologies, code, and results effectively.
- Participate in team meetings and contribute ideas.
- Learn and apply new data science techniques and tools.
- Assist in the preparation of reports and presentations for stakeholders.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and data analysis principles.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic knowledge of machine learning algorithms and concepts.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills for remote collaboration.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and a proactive attitude.
- Prior exposure to data visualization tools is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Remote Junior Data Scientist - Predictive Analytics
Posted 4 days ago
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Job Description
Our client is actively seeking motivated and enthusiastic Remote Junior Data Scientists to join their innovative team, focusing on predictive analytics. This fully remote position is ideal for individuals eager to apply their quantitative skills to real-world business challenges and learn from experienced data professionals. You will assist in developing and implementing machine learning models to forecast trends, predict customer behavior, and identify actionable insights from large datasets. Responsibilities include data cleaning, feature engineering, model training, evaluation, and deployment. You will work with various data sources, employing statistical methods and data mining techniques. Collaboration with senior data scientists, engineers, and business stakeholders is integral to understanding project requirements and communicating findings. The ideal candidate possesses a strong foundation in statistics, programming (preferably Python or R), and a keen interest in machine learning. A proactive attitude, strong problem-solving skills, and the ability to work independently in a remote setting are essential. This is a fantastic opportunity to grow your career in data science within a supportive and forward-thinking environment.
Key Responsibilities:
Qualifications:
This role offers a significant career start for aspiring data scientists, working entirely remotely and contributing to projects that may impact operations or research connected to areas like Eldoret, Uasin Gishu, KE .
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of diverse data sets.
- Develop and implement machine learning models for predictive analytics, forecasting, and classification tasks.
- Perform exploratory data analysis (EDA) to identify patterns and insights.
- Conduct feature engineering and selection to improve model performance.
- Evaluate model performance using appropriate metrics and techniques.
- Collaborate with senior data scientists and engineers to deploy models into production environments.
- Communicate analytical findings and model results clearly to technical and non-technical audiences.
- Stay updated with the latest advancements in data science, machine learning, and statistical modeling.
- Contribute to the development of data pipelines and infrastructure.
- Assist in the creation of dashboards and visualizations to present data insights.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Foundational knowledge of statistics, probability, and linear algebra.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with machine learning concepts and algorithms (e.g., regression, classification, clustering).
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Understanding of SQL for database querying.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
This role offers a significant career start for aspiring data scientists, working entirely remotely and contributing to projects that may impact operations or research connected to areas like Eldoret, Uasin Gishu, KE .
This advertiser has chosen not to accept applicants from your region.
3
Remote Junior Data Scientist - Predictive Analytics
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly motivated and intellectually curious Remote Junior Data Scientist to join their innovative team on a full-time internship basis. This is a fantastic opportunity for recent graduates or individuals looking to kickstart their career in data science within a remote-first environment. You will work under the guidance of senior data scientists, contributing to projects focused on predictive modeling, machine learning, and data analysis. The ideal candidate possesses a strong foundation in statistics, programming, and a keen interest in extracting actionable insights from complex datasets. You will gain hands-on experience with real-world data challenges and contribute to data-driven decision-making.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of statistical models and machine learning algorithms for predictive analytics.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations.
- Collaborate with senior data scientists to evaluate model performance and iterate on approaches.
- Visualize data and model results to communicate findings effectively to technical and non-technical stakeholders.
- Assist in the development of data-driven reports and dashboards.
- Stay up-to-date with the latest advancements in data science, machine learning, and AI.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing initiatives.
- Learn and apply best practices in data management, model validation, and ethical data usage.
- Contribute to documentation of data processes, models, and findings.
- Help in identifying new opportunities for leveraging data to solve business problems.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning fundamentals.
- Proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) or R.
- Familiarity with SQL for data extraction and manipulation.
- Basic knowledge of data visualization tools and techniques (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong desire to learn and adapt to new technologies and methodologies.
- Good written and verbal communication skills, suitable for remote collaboration.
- Ability to work independently, manage time effectively, and meet deadlines.
- Eagerness to contribute and be a proactive member of a remote team.
- Previous internship or project experience in data analysis or machine learning is a plus.
This advertiser has chosen not to accept applicants from your region.
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