Job Description Job Description
At SASSI, we are dedicated to using data science for good. We believe in the power of data to unlock answers to complex challenges, from fraud detection to cancer research to national intelligence. As a Data Scientist at SASSI, you will have the opportunity to make a real-world impact by leveraging your analytical skills and data science expertise. You will work closely with our clients to understand their questions and needs and dive into data-rich environments to find solutions. Our mission is to turn massive amounts of structured and unstructured data into actionable insights, and we need your help to achieve this.
Responsibilities:
As a Data Scientist at SASSI, your role will include, but not be limited to:
Improving an existing platform hosted in the AWS commercial cloud.
Aggregating data from various sources and developing tools to assist in the normalization and correlation of terabytes of existing and future data.
Enhancing the platform to allow users to easily search and access data.
Collaborating with a team of software engineers experienced in Python, Elastic, Kibana, C++, Jupyter Notebooks, and Gitlab.
Conducting data exploration, data cleaning, data analysis, data visualization, and data mining.
Developing predictive data models and quantitative analyses.
Analyzing structured and unstructured data sources for data analysis.
Utilizing programming languages like Python, R, Java, TensorFlow, PyTorch, ApacheSpark, Apache NiFi, SQL, NoSQL, Tableau, JavaScript, Flask, AWS, and Azure.
Using data visualization tools to present analytic results.
Applying knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
Evaluating data methods, models, and algorithms.
Transforming poorly defined problems into actionable questions with quantitative solutions.
Requirements:
Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Data Analytics, or a related field.
Experience with two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization.
Experience in qualitative and quantitative data analysis methods.
Proficiency in creating data visualization mockups, prototypes, and documentation.
Ability to interpret data models and work with diverse data sources and structures.
Experience translating customer requirements into project or system specifications.
Strong interpersonal and communication skills.
Self-starter with the ability to break down ambiguous problems into actionable plans.
Proficiency in Tableau, Power BI, or similar interactive data visualization software.
Experience in data transformation, manipulation, and combination using Python, Excel, and SQL.
Highly Desired Skills:
While not required, the following skills and experiences are highly desirable:
Experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
Familiarity with Sponsor business or mission data, Sponsor applications, or Sponsor database structures.
Knowledge of the Sponsor's data handling procedures.
Proficiency in visualization tools such as Jupyter, Visio, Sharepoint, or Confluence.
Experience with APIs and version control systems like GitHub.
Proficiency in Python or R.
Note:
** The role involves the possibility of temporary deployment. **
SASSI is committed to promoting diversity and inclusion. We encourage applications from individuals of all backgrounds and experiences.
If you are passionate about leveraging data science to tackle global challenges, we invite you to join our team and make a meaningful impact.

#J-18808-Ljbffr

Job Description  Job Description
At SASSI, we are dedicated to using data science for good. We believe in the power of data to unlock answers to complex challenges, from fraud detection to cancer research to national intelligence. As a Data Scientist at SASSI, you will have the opportunity to make a real-world impact by leveraging your analytical skills and data science expertise. You will work closely with our clients to understand their questions and needs and dive into data-rich environments to find solutions. Our mission is to turn massive amounts of structured and unstructured data into actionable insights, and we need your help to achieve this.
Responsibilities:
As a Data Scientist at SASSI, your role will include, but not be limited to:
Improving an existing platform hosted in the AWS commercial cloud.
Aggregating data from various sources and developing tools to assist in the normalization and correlation of terabytes of existing and future data.
Enhancing the platform to allow users to easily search and access data.
Collaborating with a team of software engineers experienced in Python, Elastic, Kibana, C++, Jupyter Notebooks, and Gitlab.
Conducting data exploration, data cleaning, data analysis, data visualization, and data mining.
Developing predictive data models and quantitative analyses.
Analyzing structured and unstructured data sources for data analysis.
Utilizing programming languages like Python, R, Java, TensorFlow, PyTorch, ApacheSpark, Apache NiFi, SQL, NoSQL, Tableau, JavaScript, Flask, AWS, and Azure.
Using data visualization tools to present analytic results.
Applying knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
Evaluating data methods, models, and algorithms.
Transforming poorly defined problems into actionable questions with quantitative solutions.
Requirements:
Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Data Analytics, or a related field.
Experience with two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization.
Experience in qualitative and quantitative data analysis methods.
Proficiency in creating data visualization mockups, prototypes, and documentation.
Ability to interpret data models and work with diverse data sources and structures.
Experience translating customer requirements into project or system specifications.
Strong interpersonal and communication skills.
Self-starter with the ability to break down ambiguous problems into actionable plans.
Proficiency in Tableau, Power BI, or similar interactive data visualization software.
Experience in data transformation, manipulation, and combination using Python, Excel, and SQL.
Highly Desired Skills:
While not required, the following skills and experiences are highly desirable:
Experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
Familiarity with Sponsor business or mission data, Sponsor applications, or Sponsor database structures.
Knowledge of the Sponsor's data handling procedures.
Proficiency in visualization tools such as Jupyter, Visio, Sharepoint, or Confluence.
Experience with APIs and version control systems like GitHub.
Proficiency in Python or R.
Note:
**  The role involves the possibility of temporary deployment. **
SASSI is committed to promoting diversity and inclusion. We encourage applications from individuals of all backgrounds and experiences.
If you are passionate about leveraging data science to tackle global challenges, we invite you to join our team and make a meaningful impact.

#J-18808-Ljbffr

At SASSI, we are dedicated to using data science for good. We believe in the power of data to unlock answers to complex challenges, from fraud detection to cancer research to intelligence. As a Data Scientist at SASSI, you will have the opportunity to make a real-world impact by leveraging your analytical skills and data science expertise. You will work closely with our clients to understand their questions and needs and dive into data-rich environments to find solutions. Our mission is to turn massive amounts of structured and unstructured data into actionable insights, and we need your help to achieve this.
Responsibilities: As a Data Scientist at SASSI, your role will include, but not be limited to:
Improving an existing platform hosted in the AWS commercial cloud.
Aggregating data from various sources and developing tools to assist in the normalization and correlation of terabytes of existing and future data.
Enhancing the platform to allow users to easily search and access data.
Collaborating with a team of software engineers experienced in Python, Elastic, Kibana, C++, Jupyter Notebooks, and Gitlab.
Conducting data exploration, data cleaning, data analysis, data visualization, and data mining.
Developing predictive data models and quantitative analyses.
Analyzing structured and unstructured data sources for data analysis.
Utilizing programming like Python, R, Java, TensorFlow, PyTorch, ApacheSpark, Apache NiFi, SQL, NoSQL, Tableau, JavaScript, Flask, AWS, and Azure.
Using data visualization tools to present analytic results.
Applying knowledge of Machine Learning, Artificial Intelligence, or Natural Processing.
Evaluating data methods, models, and algorithms.
Transforming poorly defined problems into actionable questions with quantitative solutions.
Requirements: Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Data Analytics, or a related field.
Experience with two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization.
Experience in qualitative and quantitative data analysis methods.
Proficiency in creating data visualization mockups, prototypes, and documentation.
Ability to interpret data models and work with diverse data sources and structures.
Experience translating customer requirements into project or system specifications.
Strong interpersonal and communication skills.
Self-starter with the ability to break down ambiguous problems into actionable plans.
Proficiency in Tableau, Power BI, or similar interactive data visualization software.
Experience in data transformation, manipulation, and combination using Python, Excel, and SQL.
Highly Desired Skills: While not required, the following skills and experiences are highly desirable:
Experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
Familiarity with Sponsor business or mission data, Sponsor applications, or Sponsor database structures.
Knowledge of the Sponsor's data handling procedures.
Proficiency in visualization tools such as Jupyter, Visio, Sharepoint, or Confluence.
Experience with APIs and version control systems like GitHub.
Proficiency in Python or R.
Note: The role involves the possibility of temporary deployment.
SASSI is committed to promoting diversity and inclusion. We encourage applications from individuals of all backgrounds and experiences.
If you are passionate about leveraging data science to tackle global challenges, we invite you to join our team and make a meaningful impact.

#J-18808-Ljbffr

At SASSI, we are dedicated to using data science for good. We believe in the power of data to unlock answers to complex challenges, from fraud detection to cancer research to intelligence. As a Data Scientist at SASSI, you will have the opportunity to make a real-world impact by leveraging your analytical skills and data science expertise. You will work closely with our clients to understand their questions and needs and dive into data-rich environments to find solutions. Our mission is to turn massive amounts of structured and unstructured data into actionable insights, and we need your help to achieve this. <h3>Responsibilities: </h3>As a Data Scientist at SASSI, your role will include, but not be limited to: <ul><li>Improving an existing platform hosted in the AWS commercial cloud. </li><li>Aggregating data from various sources and developing tools to assist in the normalization and correlation of terabytes of existing and future data. </li><li>Enhancing the platform to allow users to easily search and access data. </li><li>Collaborating with a team of software engineers experienced in Python, Elastic, Kibana, C++, Jupyter Notebooks, and Gitlab. </li><li>Conducting data exploration, data cleaning, data analysis, data visualization, and data mining. </li><li>Developing predictive data models and quantitative analyses. </li><li>Analyzing structured and unstructured data sources for data analysis. </li><li>Utilizing programming like Python, R, Java, TensorFlow, PyTorch, ApacheSpark, Apache NiFi, SQL, NoSQL, Tableau, JavaScript, Flask, AWS, and Azure. </li><li>Using data visualization tools to present analytic results. </li><li>Applying knowledge of Machine Learning, Artificial Intelligence, or Natural Processing. </li><li>Evaluating data methods, models, and algorithms. </li><li>Transforming poorly defined problems into actionable questions with quantitative solutions. </li> </ul><h3>Requirements: </h3><ul><li>Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Data Analytics, or a related field. </li><li>Experience with two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization. </li><li>Experience in qualitative and quantitative data analysis methods. </li><li>Proficiency in creating data visualization mockups, prototypes, and documentation. </li><li>Ability to interpret data models and work with diverse data sources and structures. </li><li>Experience translating customer requirements into project or system specifications. </li><li>Strong interpersonal and communication skills. </li><li>Self-starter with the ability to break down ambiguous problems into actionable plans. </li><li>Proficiency in Tableau, Power BI, or similar interactive data visualization software. </li><li>Experience in data transformation, manipulation, and combination using Python, Excel, and SQL. </li> </ul><h3>Highly Desired Skills: </h3>While not required, the following skills and experiences are highly desirable: <ul><li>Experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination. </li><li>Familiarity with Sponsor business or mission data, Sponsor applications, or Sponsor database structures. </li><li>Knowledge of the Sponsor's data handling procedures. </li><li>Proficiency in visualization tools such as Jupyter, Visio, Sharepoint, or Confluence. </li><li>Experience with APIs and version control systems like GitHub. </li><li>Proficiency in Python or R. </li> </ul><h3>Note: </h3>The role involves the possibility of temporary deployment. SASSI is committed to promoting diversity and inclusion. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about leveraging data science to tackle global challenges, we invite you to join our team and make a meaningful impact. #J-18808-Ljbffr

<h3>Job Description</h3><div>Job Description<div><div>At SASSI, we are dedicated to using data science for good. We believe in the power of data to unlock answers to complex challenges, from fraud detection to cancer research to national intelligence. As a Data Scientist at SASSI, you will have the opportunity to make a real-world impact by leveraging your analytical skills and data science expertise. You will work closely with our clients to understand their questions and needs and dive into data-rich environments to find solutions. Our mission is to turn massive amounts of structured and unstructured data into actionable insights, and we need your help to achieve this.Responsibilities:As a Data Scientist at SASSI, your role will include, but not be limited to:<ul><li>Improving an existing platform hosted in the AWS commercial cloud.</li><li>Aggregating data from various sources and developing tools to assist in the normalization and correlation of terabytes of existing and future data.</li><li>Enhancing the platform to allow users to easily search and access data.</li><li>Collaborating with a team of software engineers experienced in Python, Elastic, Kibana, C++, Jupyter Notebooks, and Gitlab.</li><li>Conducting data exploration, data cleaning, data analysis, data visualization, and data mining.</li><li>Developing predictive data models and quantitative analyses.</li><li>Analyzing structured and unstructured data sources for data analysis.</li><li>Utilizing programming languages like Python, R, Java, TensorFlow, PyTorch, ApacheSpark, Apache NiFi, SQL, NoSQL, Tableau, JavaScript, Flask, AWS, and Azure.</li><li>Using data visualization tools to present analytic results.</li><li>Applying knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.</li><li>Evaluating data methods, models, and algorithms.</li><li>Transforming poorly defined problems into actionable questions with quantitative solutions.</li></ul>Requirements:<ul><li>Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Data Analytics, or a related field.</li><li>Experience with two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization.</li><li>Experience in qualitative and quantitative data analysis methods.</li><li>Proficiency in creating data visualization mockups, prototypes, and documentation.</li><li>Ability to interpret data models and work with diverse data sources and structures.</li><li>Experience translating customer requirements into project or system specifications.</li><li>Strong interpersonal and communication skills.</li><li>Self-starter with the ability to break down ambiguous problems into actionable plans.</li><li>Proficiency in Tableau, Power BI, or similar interactive data visualization software.</li><li>Experience in data transformation, manipulation, and combination using Python, Excel, and SQL.</li></ul>Highly Desired Skills:While not required, the following skills and experiences are highly desirable:<ul><li>Experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.</li><li>Familiarity with Sponsor business or mission data, Sponsor applications, or Sponsor database structures.</li><li>Knowledge of the Sponsor's data handling procedures.</li><li>Proficiency in visualization tools such as Jupyter, Visio, Sharepoint, or Confluence.</li><li>Experience with APIs and version control systems like GitHub.</li><li>Proficiency in Python or R.</li></ul>Note:The role involves the possibility of temporary deployment.SASSI is committed to promoting diversity and inclusion. We encourage applications from individuals of all backgrounds and experiences.If you are passionate about leveraging data science to tackle global challenges, we invite you to join our team and make a meaningful impact.</div></div></div>

At SASSI, we are dedicated to using data science for good. We believe in the power of data to unlock answers to complex challenges, from fraud detection to cancer research to national intelligence. As a Data Scientist at SASSI, you will have the opportunity to make a real-world impact by leveraging your analytical skills and data science expertise. You will work closely with our clients to understand their questions and needs and dive into data-rich environments to find solutions. Our mission is to turn massive amounts of structured and unstructured data into actionable insights, and we need your help to achieve this. Responsibilities: As a Data Scientist at SASSI, your role will include, but not be limited to: Improving an existing platform hosted in the AWS commercial cloud. Aggregating data from various sources and developing tools to assist in the normalization and correlation of terabytes of existing and future data. Enhancing the platform to allow users to easily search and access data. Collaborating with a team of software engineers experienced in Python, Elastic, Kibana, C++, Jupyter Notebooks, and Gitlab. Conducting data exploration, data cleaning, data analysis, data visualization, and data mining. Developing predictive data models and quantitative analyses. Analyzing structured and unstructured data sources for data analysis. Utilizing programming languages like Python, R, Java, TensorFlow, PyTorch, ApacheSpark, Apache NiFi, SQL, NoSQL, Tableau, JavaScript, Flask, AWS, and Azure. Using data visualization tools to present analytic results. Applying knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. Evaluating data methods, models, and algorithms. Transforming poorly defined problems into actionable questions with quantitative solutions. Requirements: Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Data Analytics, or a related field. Experience with two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization. Experience in qualitative and quantitative data analysis methods. Proficiency in creating data visualization mockups, prototypes, and documentation. Ability to interpret data models and work with diverse data sources and structures. Experience translating customer requirements into project or system specifications. Strong interpersonal and communication skills. Self-starter with the ability to break down ambiguous problems into actionable plans. Proficiency in Tableau, Power BI, or similar interactive data visualization software. Experience in data transformation, manipulation, and combination using Python, Excel, and SQL. Highly Desired Skills: While not required, the following skills and experiences are highly desirable: Experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination. Familiarity with Sponsor business or mission data, Sponsor applications, or Sponsor database structures. Knowledge of the Sponsor's data handling procedures. Proficiency in visualization tools such as Jupyter, Visio, Sharepoint, or Confluence. Experience with APIs and version control systems like GitHub. Proficiency in Python or R. Note: The role involves the possibility of temporary deployment. SASSI is committed to promoting diversity and inclusion. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about leveraging data science to tackle global challenges, we invite you to join our team and make a meaningful impact.

Data Scientist Selected candidate must reside within two (2) hours of SSA Headquarters in Woodlawn MD. Selected candidate must be willing to work onsite at least 2 days a week. *** Selected candidate must reside within two (2) hours of SSA Headquarters in Woodlawn MD *** Selected candidate must be willing to work onsite at least 2 days a week. Key Required Skills: Strong knowledge of R Python SAS Gen AI and Machine Learning. Position Description: Determine the nature of analytic problems evaluate options and offer recommendations for resolution. Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem. Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems. Provide accurate timely complex and sophisticated data analysis. Determine and employ the most appropriate research design for data collection and analysis. Analyze evaluate and assess quantitative data (using statistical software computer models geospatial models software languages and mathematical models) to contribute to or develop software tools analytic models or reports. Skills Requirements: FOUNDATION FOR SUCCESS (Basic Qualifications) Bachelors degree in Statistics Applied Mathematics Computer Science or Information Science Minimum 8 Year (s) of Data Scientist experience Must be able to obtain and maintain a Public Trust. Contract requirement. FACTORS TO HELP YOU SHINE (Required Skills) These skills will help you succeed in this position: Expertlevel experience working with real world data sets in predictive modelling using a scripting language such as Python SAS and R. Knowledge of TensorFlow PyTorch scikitlearn NLTK Azure ML (optional) Amazon Web Services EC2. Expert knowledge in conducting data analysis and applying advanced statistical concepts and machine learning methods to build train test and evaluate a variety of supervised and unsupervised analytic models. Ability to clean and process large amounts of realworld data. Experience retrieving and manipulating data from a variety of data sources included Db2 Oracle SQL Server Hadoop and flat files. Experience with database management systems e.g. MySQL SQLite SQL etc. Either experience with or the ability and willingness to learn distributed processing via the Hadoop ecosystem i.e. Spark Impala and Hive. Excellent analytical skills to identify potential risks and propose effective solutions. Clear communication skills to convey complex technical concepts to various partners. Ability to collaborate with crossfunctional teams. Providing problem solving skills proven communication in written and verbal formats to various audiences to include executive leadership. HOW TO STAND OUT FROM THE CROWD (Desired Skills) Showcase your knowledge of modern development through the following experience or skills: Prior experience with federal or state governments IT projects. Prior experience working on applications that help identify fraudulent activities (AntiFraud) in government or larger private organizations. Experience working in an analytical research environment. Experience with statistical and machine learning software such as pandas and scikitlearn. Experience in parallel processing such as GPU programming with CUDA Mathematica Experience using markup languages such as LaTeX HTML etc. Natural Language Processing for anomaly detection Education: Bachelors degree in Statistics Applied Mathematics Computer Science or Information Science with a minimum of 12 years of experience Must be able to obtain and maintain a Public Trust. Contract requirement. ABOUT THE COMPANY Headquartered in Leesburg Virginia Zenius Corporation is a HUBZonecertified small business. Zenius specializes in providing Grants Management IT Modernization Acquisition Management and Financial Management services to Federal agencies. Zenius is selected by Inc 5000 as one of the fastestgrowing companies in the DC Metro Area award for two years in a row 2021 and 2020. Zenius is also listed by Financial Times as one of the fastestgrowing companies in the Americas in 2021. Zenius is an awardee of 2019 Best of Leesburg winner (Business Management Consultant category). Learn more at. BENEFITS Zenius Corporation is a very employeeoriented company. Join us now and help us grow! We offer a competitive benefits package that includes paid holidays and paid time off medical insurance including health vision dental insurance 401K matching Flexible Spending Account and flexible schedules as per business needs. We also work with our employees on training and professional certification plans that benefit the employee. EQUAL OPPORTUNITY EMPLOYER: Zenius Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion gender sexual orientation gender identity or expression national origin age disability genetic information marital status amnesty or status as a covered veteran in accordance with applicable federal state and local laws. Zenius complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment including but not limited to hiring placement promotion termination layoff recall transfer leaves of absence compensation and training. Zenius Corporation expressly prohibits any form of unlawful employee harassment based on race color religion gender sexual orientation gender identity or expression national origin age genetic information disability or veteran status.

Data Scientist Jobs in Leesburg, VA

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Data Scientist Jobs in Leesburg, VA

Data ScientistDecember 17, 2024

Data ScientistDecember 16, 2024

Data ScientistDecember 10, 2024

Data ScientistDecember 9, 2024

Data ScientistDecember 6, 2024

Data ScientistNovember 30, 2024

Data ScientistNovember 29, 2024