SYNERGISTICIT is aware that the Job Market is Challenging due to almost 300,000 Tech Layoffs within the past year due to which The Job market is flooded with thousands of laid off Techies who are competing with existing Jobseekers. For entry level Job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010 we have helped Jobseekers differentiate themselves by providing the clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers. ll Positions are open for all visas and US citizens We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed. Clients have now the option to hire remote workers from anywhere so for a Jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like pple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We also offer optionally Skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then you should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours. If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team. please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/ We are also silver sponsors at Oracle Cloudworld , Las vegas from sept 18-21 st - please visit us https://www.oracle.com/cloudworld/sponsor-listing/#synergistic-it Watch the below videos of us participating at Industry events with the Top companies in Technology at Oracle Cloud world /Oracle Java one (Las vegas) and at Gartner Data Analytics Summit (Florida) Oracle CloudWorld Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube https://www.youtube.com/watch?v=OAFOhcGy9Z8 https://www.youtube.com/watch?v=EmO7NrWHkLM https://www.youtube.com/watch?v=NVBU9RYZ6UI https://www.youtube.com/watch?v=Yy74yvjatVg SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube If you have relevant skills and industry experience, please apply For preparing for interviews please visit https://www.synergisticit.com/interview-questions/ REQUIRED SKILLS For Java /Software Programmers <ul> <li> Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT </li> <li> Highly motivated, self-learner, and technically inquisitive </li> <li> Experience in programming language Java and understanding of the software development life cycle </li> <li> Project work on the skills </li> <li> Knowledge of Core Java , javascript , C++ or software programming </li> <li> Spring boot, Microservices, Docker, Jenkins and REST API's experience </li> <li> Excellent written and verbal communication skills </li> </ul> For data Science/Machine learning REQUIRED SKILLS <ul> <li> Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT </li> <li> Project work on the technologies needed </li> <li> Highly motivated, self-learner, and technically inquisitive </li> <li> Experience in programming language Java and understanding of the software development life cycle </li> <li> Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools </li> <li> Excellent written and verbal communication skills </li> </ul> Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. No third party candidates or c2c candidates please only apply to the posting If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team. No phone calls please. Shortlisted candidates would be reached out.

Job DescriptionJob DescriptionSolutions Through Innovative Technologies, Inc. (STI-TEC) specializes in the delivery of professional business and information management services. STI-TEC offers government and commercial clients a comprehensive portfolio of services that identify, manage, distribute and improve business processes related to entities’ most valued resource, information. As a fast-growing solutions provider, established in 2000, total customer satisfaction has remained the cornerstone of our business. Our business model focuses on integrity, loyalty, and trust.

Essential Job Function

Observe, analyze, and translate operational readiness challenges into analytic constructs and visualizations for use in addressing long-term, recurring issues/taskings and time-critical, one-time issues/taskings (e.g., within four hours of senior leader request for analysis)

Conduct analyses and visualizations to define readiness problem statements and provide solutions that incorporate readiness data and corresponding investment decisions within the required amount of time as stated by Government lead. To the maximum extent possible use robotic process automation techniques to minimize repetitive human tasks and host serve the data in a distributed fashion within the USAF Data Fabric.

Demonstrate how analysis can improve command readiness and better meet AF and DoD-mandated reporting criteria.

Assist with the interpretations of Air Force, Joint Staff, Office of the Secretary of Defense, and Congressional questions regarding readiness and deliver actionable studies and analysis products, results, conclusions, insights, and visualizations.

Readiness reporting analysis and visualization to address Air Force, Department of Defense and Congressional leadership information, policy, and technical requirements.

Analysis and visualization to support policy and funding changes to the USAF Flying Hour Program, aviation fuels management and authorized ancillary services.

Readiness analysis and visualization to support AF/A3TR recurring and situational directed tasks to include readiness reporting queries to analyze reporting data and formulate output products for leadership.

Fully support Vice Chief of Staff Readiness Brief

Minimum Qualifications

Current Secret security clearance

Seven (7) years of combined experience that includes DoD readiness analysis and/or military service at the tactical, operational, and strategic levels; master’s degree in a field related to analysis; five (5) years of experience in data analysis; three (3) years of experience on or supporting the Air Staff or an equivalent strategic level staff and knowledge and understanding of Air Force operations. Possess Master's degree or higher in data science/data analytics or comparable subject area.

Ability to apply expert analytic and evaluative skills to determine actions necessary to support a variety of major missions and operational plans that are compatible with previous OSD decisions, AF strategy, policies, concepts and objectives, and Congressional decisions, to provide the most beneficial range of alternatives to AF leadership

Ability to extract, manipulate, distill and present a variety of readiness related inputs from multiple automated data sources into oral, written, and graphic depictions of data for use in senior level, decision quality material

Ability to perform all other analytic tasks in support of AF/A3TR and/or as directed by the senior/team lead analyst

Applicants selected may be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
STI-TEC is an equal opportunity employer and values . Employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to , , , , , , protected Veteran status, and .
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation and training.
If you need assistance or an accommodation due to a , you may contact us at HR@sti-tec.com or you may call us at 1+918.583.9900.

Results for Development (R4D) is a leading non-profit global development partner. We collaborate with change agents around the world - government officials, civil society leaders and social innovators - to create strong systems that support healthy, educated people. We help our partners move from knowing their goal to knowing how to reach it. We combine global expertise in health, education and nutrition with analytic rigor, practical support for decision-making and implementation and access to peer problem-solving networks. Together with our partners, we build self-sustaining systems that serve everyone and deliver lasting results. Then we share what we learn so others can achieve results for development, too.

We have a unique and vibrant culture at R4D. Diversity, equity and inclusion are at the heart of our work environment and help advance our mission. Diversity-of ideas, identities, perspectives and backgrounds-is vital to who we are and what we do. We seek people who embrace these values and will help reinforce them. Our work culture is collaborative, creative and entrepreneurial. We operate based on trust and respect. Teams across the organization frequently collaborate on programmatic work and support each other in continuously building a better R4D.

Position title : Senior Program Officer

Practice/department/team : Health

Location:  This position is based in Washington DC and reports to Rachel Neill, Program Director.

Practice/Department:

R4D's health practice works with change agents who want to advance their health-related goals - such as achieving universal health coverage (UHC), strengthening primary health care and ending preventable child and maternal deaths - but who are unsure how best to do this. We help them design and implement reforms that draw on global experience adapted to local contexts. One approach of R4D's health practice is to support key global institutions and countries to develop new ways of measuring the performance of primary health care systems.

One component of that effort is R4D's new partnership with the Global Financing Facility for Women, Children, and Adolescents (GFF) on its FASTR rapid cycle analytics and data use initiative. R4D is partnering with the GFF to expand and scale FASTR across GFF partner countries, ensuring that FASTR's tools, approaches, and lessons learned become country-oriented global public goods. You can find more about the project here: https://r4d.org/projects/improving-health-outcomes-women-children-adolescents-fastr-rapid-cycle-data-use-initiative/

This role is a seconded position to the Global Financing Facility for Women, Children, and Adolescent (GFF) Secretariat. The candidate will be based in Washington, DC and will work from the World Bank's HQ a minimum of four days a week.

About the GFF

The Global Financing Facility for Women, Children and Adolescents (GFF) is a multi-stakeholder global partnership housed at the World Bank that is committed to ensuring all women, children and adolescents can survive and thrive. Launched in July 2015, the GFF supports 36 low and lower-middle income countries with catalytic financing and technical assistance to develop and implement prioritized national health plans to scale up access to affordable, quality care for women, children, and adolescents.

Core to the GFF agenda is a data-driven approach to enable routine monitoring of both available resources and the implementation of the prioritized reforms to accelerate progress on reproductive, maternal, newborn, child and adolescent health and nutrition services and outcomes, and strengthen primary health care systems toward the progressive realization of UHC. As part of the GFF support to countries to achieve these goals the GFF hosts a set of technical support activities under the Frequent Assessments & System Tools for Resilience (FASTR) initiative. FASTR provides technical support to implement rapid-cycle service delivery data collection, analysis, and interpretation to inform actions to strengthen resilient health systems. Activities include the implementation of rapid health facility and household/demand-side surveys (including household surveys and client exit interviews), support for the analysis of routine health facility and health systems data, rapid deep-dive qualitative studies, and data use and uptake support.

Position Summary:

• Leading and continually adapting data collection, analysis, visualization, approaches that are scalable and can be replicated by country Ministries of Health who are institutionalizing rapid cycle approaches to health system measurement.

• Creating automated data outputs and analytical workflows, including the integration of supply- and demand-side data from HMIS, facility surveys, and household/client surveys, to better inform country decision-making.

• Providing technical support to country change agents and local partner institutions to build capacity to decentralize analysis, including advanced analytic and data visualization techniques.

• Engage directly with partners and country stakeholders on the technical approach, interpretation of results, and integration of findings into actionable policy insights.

• Participates fully as a member of R4D by contributing, assisting, and participating in projects, activities, and initiatives as requested by management

A successful candidate will be highly motivated, a creative problem solver; have very strong quantitative analytic skills, deep public health expertise, and direct experience managing analytical support programs in partnership with Ministries of Health and other country stakeholders. The candidate will be expected to work across R4D and the GFF and actively support the organizations' strong partnership to implement the project.

Responsibilities:

1. Supervise and maintain reproducible pipelines for data cleaning, quality assurance, and visualization of routine health management information systems data using open-source tools. - 25%

2. Provide technical leadership in conceptualizing and conducting analyses that combine routine health management information system data, health facility surveys, and household/client data. - 20%

3. Directly support country-level stakeholders, including Ministries of Health and local partners, in building capacity to independently analyze and utilize integrated health data for decision-making applying R4D's coaching and mentoring model. - 20%

4. Lead in the creation of compelling visualizations and data dashboards that effectively communicate findings to technical and non-technical stakeholders, aiding in evidence-based policy making. - 10%

5. Contribute to the advancement of the FASTR research agenda, including generation of original research studies as a lead and/or co-author. - 10%

6. Participate fully as a member of the GFF Results team by serving as a Results Monitoring Specialist for one country and contributing, assisting, and participating in other projects, activities, and initiatives requested by the GFF's Results and Learning Team lead. - 10%

7. Participates fully as a member of R4D by contributing, assisting and participating in projects, activities, and initiatives as requested by R4D management. -5%

Qualifications:

1. Masters degree in public health, data science, epidemiology, biostatistics, or a related field with 7 or more years of experience is required; PhD with relevant analytical work experience preferred.

2. Advanced knowledge in conducting quantitative research, including designing studies and statistical approaches.

3. Advanced skills in statistical analysis software, specifically, a high level of Stata and R proficiency is required

4. Advanced skills in data visualization software, specifically a high level of Tableau proficiency is required

5. Proven experience leading the analysis of large-scale administrative datasets is requires; experience with cross-country and longitudinal health data sets is preferred

6. Strong publication record, including peer-reviewed articles and technical reports, reflecting expertise in integrating and interpreting multi-source health systems data.

7. Demonstration of meticulous attention to detail and an ability to work independently on technical and project management tasks.

8. An understanding of the public health landscape and the ability to align data visualization efforts with the GFF's strategic goals.

9. Excellent verbal and written communication skills to interact in English and French with both technical and non-technical stakeholders; Spanish fluency is also preferred

$97,500 - $115,000 a year

The target base salary pay range for this US-based position is $97,500 - $115,000 per year. R4D aims to provide an equitable and consistent starting salary for all new hires based on the responsibilities and qualifications required for the position. The full salary range allows for future career and earnings growth, and hiring above the mid-point of a salary range would not be typical for a new employee.

Base salary is only one component of our total rewards package. R4D offers a generous benefits package that includes a 401K plan with up to 9% employer contribution, medical, dental and vision insurance, 25 paid vacation days, 15 days of paid sick leave, 10 paid US holidays, paid parental leave, flexible spending accounts, company-paid life insurance, short-term and long-term disability insurance, commuter benefits, free access to an onsite gym, free headspace membership, an employee assistance program and a flexible work environment. Please visit our R4D Careers page for more details.

Results for Development is an EOE/M/F/Vet/Disabled/Affirmative Action Employer committed to fostering

and nurturing an energetic, collaborative and diverse workforce. R4D provides market-competitive salaries and comprehensive employee benefits.

Job DescriptionJob Description

Are you passionate about working on a small, impactful team where your contributions directly influence mission success? Do you thrive on developing applications that leverage high-value data for critical insights? NS2 Mission is looking for a highly motivated, self-driven  Data Scientist  to join our team in Northern Virginia. Your work will involve creating innovative data solutions, enhancing workflows, and unlocking the potential of complex datasets.

This position involves a variety of responsibilities, including quality assurance of data feeds, providing support for data triage, and enhancing data collection and analysis workflows. The ideal candidate will have strong Python programming skills and a proven track record of working with both structured and unstructured data in various tools and platforms.

Key Responsibilities:

Perform end-to-end quality assurance of data feeds and datasets.

Support data triage and assessment activities.

Identify and document opportunities to improve workflows and systems.

Participate in regular stand-up meetings and provide input during code reviews.

Cross-train on existing data collection tools.

Build, monitor, and report on data systems (e.g., dashboards).

Research and document options for collecting and aggregating data from various web and internal platforms.

Evaluate web-based platforms for access control features and make recommendations for data acquisition.

Develop and maintain Python-based scripts for data collection, processing, and system enhancement.

Automate data cleanup, conditioning, management, and dissemination processes.

Collaborate on new use case development and provide data-driven insights.

Required Skills and Experience:

Strong experience programming in Python.

Proficiency working with both structured and unstructured data (e.g., MS Excel).

Experience with database tools (e.g., SQL, Presto) and data lakes (e.g., S3).

Experience building data visualizations and dashboards with tools such as Elasticsearch, Kibana, Tableau, Apache Superset, or PowerBI.

Ability to translate complex technical findings into clear, easily understood reports, visuals, or presentations.

Experience formulating analytic requirements, evaluating results, and communicating findings to stakeholders.

Ability to work collaboratively, accept feedback, and develop customer-tailored data solutions.

Highly Desired Skills and Experience:

Experience with AI/ML, particularly natural processing in a production setting.

Expertise in statistical modeling, hypothesis testing, and inferential statistics.

Familiarity with data management tools like Hadoop, MapReduce, or similar.

Hands-on experience with Apache Zeppelin, Jupyter Notebooks, and Spark/PySpark.

Proficiency in MS Visual Basic for Applications (VBA).

Background in supporting traditional and commercial targeting efforts.

Programming experience in R.

Position Clearance Requirement:

TS/SCI with FSP

We win with

NS2 Mission’s culture of , focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At NS2 Mission, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

NS2 Mission is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with NS2 Mission and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: NS2Mission.Careers@sapns2.com.

Qualified applicants will receive consideration for employment without regard to their , , , , , , (including , childbirth, et al), , or expression, protected veteran status, or , in compliance with applicable federal, state, and local legal requirements.

Job DescriptionJob Description

Job Title: Senior Level Data Scientist

Location: DC Area

Required Education:

Bachelor’s degree plus 7-10 year’s experience, or a master’s degree plus 5 years of experience.

Required Skills/Experience:

Experience with ML fields, e.g., natural processing, computer vision, statistical learning theory

Hands-on experience with Natural Processing (NLP), Large Models, text embedding, semantic query, use of generative AI for text, and retrieval augmented (RAG)

Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects

Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks

Experience with version control systems like Git, enabling effective collaboration and code management

Experience in an ML engineer or data scientist role building ML models

Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility

Experience using Apache Spark/Databricks distributed compute environments for AI/ML workloads

Experience handling petabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models

Experience with cloud-based data persistence products, especially RDS PostgreSQL and PostgreSQL extensions such as pgvector.

Experience persisting vectorized data from text embedding processes using Elastic and/or OpenSearch, in addition to vector enabled RDBMS like pgvector enhanced PostgreSQL

Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

Possess a minimum of an active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility

U.S. citizenship required

Major Duties/Tasks:

Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases.

Collaborate with cross-functional teams, including data scientists and software engineers to integrate AI solutions developed by other elements of CDAO or the DoD community into Search Portfolio products when appropriate

Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, specifically Apache Spark/Databricks. Ability to adapt code base to also run using GPU enabled Kubernetes clusters.

Stay updated on and contribute to the latest advancements in AI research, applying new findings to improve Search Portfolio products

Manage the lifecycle of AI/ML components used in Search Portfolio products from research and development to deployment and optimization

Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance

Documents and presents requirements, design alternatives, and findings to team members and clients.

Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships; and

Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools .

Maintains and guides the development of common libraries and tools used by multiple teams.

Aids in formulating a strategy on how to achieve rapid prototyping

Synovix, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to , , , creed, , , , expression, transgender, , marital status, , ancestry, citizenship status, , , protected Veteran Status, genetics or any other characteristics protected by applicable Federal, State, or Local Law.

Job DescriptionJob Description Location:  Washington, DC

About the company:
At VivSoft, we aim to solve complex federal problems using emerging and open technologies in a collaborative and rewarding environment. VivSoft is a diverse team of strategists, engineers, designers, and creators experienced in building high performance effective softwares, with impactful organizational design and organizational dynamics for software delivery. We build secure Software Factories based on DoD reference designs and NIST Frameworks for Cloud and DevSecOps. These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies

Job Summary:
The Senior Level Data Scientist will be a key contributor to the DoD initiatives, focusing on the development and implementation of advanced data analytics and machine learning solutions. This role involves leveraging statistical analysis, machine learning techniques, and data-driven methodologies to enhance the Department of Defense's (DoD) capabilities in decision-making and operational efficiency.

Key Responsibilities:

Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets.

Model Development: Design, build, and validate machine learning models to solve specific operational problems within the DoD’s Search Portfolio.

Collaboration: Work closely with cross-functional teams including software engineers, data engineers, and product managers to integrate data science solutions into applications.

Research & Innovation: Stay current with emerging technologies and methodologies in data science and AI; apply innovative approaches to enhance existing capabilities.

Documentation & Reporting: Prepare detailed documentation of methodologies, findings, and recommendations; present results to stakeholders at various levels.

Skills/Qualifications Required:

Education: Master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field; Ph.D. .

Clearance Requirements: Active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) eligibility

Minimum of 5 years of experience in data science or a related field with a focus on machine learning and statistical analysis.

Proven experience in developing and deploying machine learning models in production environments.

Familiarity with big data technologies such as Apache Spark or Databricks is advantageous.

Proficiency in programming such as Python or R; experience with libraries like TensorFlow, Py Torch, or Scikit-learn.

Strong analytical skills with the ability to interpret complex datasets and communicate findings effectively.

Experience with cloud platforms (e.g., AWS, Azure) for deploying data solutions.

Benefits:

Comprehensive Medical, Dental, and Visions Plans (Healthcare benefits are 100% employer-paid for employees only)

Life Insurance

Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)

401K Retirement Plan with employer match

Professional Development Training Reimbursement

Flexible/remote work schedules.

Target salary range:  $160,000 - $170,000.

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Job Description:
Remitly's vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.

About the Role:

We are seeking a seasoned and innovative Senior Data Scientist with a strong technical foundation and deep curiosity to help us launch and scale our Small and Micro Business payments product.

This role offers a rare opportunity to build core fraud and risk detection capabilities from the ground up, directly influencing the security and integrity of a product with global reach. As Senior Data Scientist, you will be part of Remitly's Small and Micro Business team, focusing on fraud detection, risk management, and compliance. This is a unique opportunity where you will work at the intersection of product, data, and risk to build new systems from the ground up. You will play a pivotal role in launching a product that will transform cross border business payments globally.

You will take ownership of building and operationalizing machine learning models and analytical frameworks to detect and prevent fraud in real time, influence product features with your insights, and shape how we scale safely and efficiently.

This is a hybrid role to support team collaboration and is based in Remitly's office in Seattle, Washington.

You Will:
Develop systems that proactively identify and prevent fraudulent activities, ensuring a secure payment environment.
Design comprehensive risk assessment frameworks to evaluate transactions, business entities, and customer behaviors and mitigate potential risks.
Work closely with product, program, engineering, compliance, and risk teams to create solutions that balance robust fraud prevention with an exceptional customer experience.
Analyze complex datasets to identify trends, anomalies, and emerging fraud patterns to stay ahead of potential threats.
Develop and deploy machine learning models to detect and mitigate fraud risks effectively.
Communicate insights and recommendations to senior stakeholders, shaping key business strategies.
You Have:     5+ years of experience in data science, analytics, or risk modeling, preferably in fraud, risk, or financial crime prevention.
Experience building and deploying ML models in production environments.
Expertise in Python, SQL, and data analytics tools.
Deep understanding of fraud detection techniques and risk management methodologies.
Experience working with real-time data pipelines and large-scale financial datasets.
Ability to translate complex data insights into actionable strategies for fraud prevention and compliance.
Experience of working cross-functionally. Strong data communication skills, including data visualization, technical writing, and business writing
Understanding of AML regulations and financial risk frameworks is a plus.
Compensation Details.  The starting base salary range for this position is typically $ 168000 -$200,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role. #LI-HYBRID

Our Benefits:     Flexible paid time off
Health, dental, and vision + 401k plan with company matching
Paid parental, medical, military and family care leave
Mental Health & Family Forming Benefits
Employee Stock Purchase Plan (ESPP)
Continuing education and travel benefits

We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

Remitly is an E-Verify Employer

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Interview: virtual
Visa: USC and GC (Citizen is preferred)
Hybrid: Washington, DC

JD:
Summary:

The Data Scientist is responsible for combining their expert knowledge in statistical analysis, data mining, data engineering, and ML/AI to build complex end-to-end business analytics, artificial intelligence, and IT solutions. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. As this position will help to support federal contracts with security requirements, you must be a US Citizen to qualify.

Responsibilities:

Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis.
Strong working experience with descriptive and predictive data mining tasks as well as key algorithms including ML and NLP-based learning techniques.
Understand and develop quantitative simulations and models as part of larger decision systems.
Use managed services within AWS or Azure to process structured and unstructured data into vectorized embeddings for model and search consumption.
Develop and build modern AI-based applications using LLMs and RAG.
Identify and incorporate new data sources into centralized, interoperable data stores vi variety of techniques including web scraping, APIs, secure file transfer, etc.
Perform sentiment analysis, topic modeling, and text classification to understand opinions, identify trends, and extract key themes.
Identify and present on insights, trends, and problems through complex big data analysis to both technical and non-technical audiences
Collaborate with team members across the company to support client capture, proposal writing, and sales development
Support the technology team in staying current in emerging tools and techniques in machine learning, statistical modeling, and analytics.
Create clear and compelling visualizations to communicate data-driven insights to stakeholders.
Skills you bring:       Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical disciplines.
5+ years of relevant data science and analytics experience.
3+ years utilizing Python for modeling and data work with strong working expertise in standard libraries such as NumPy, pandas, matplotlib, and scikit-learn.
2+ years building and maintaining data pipelines in AWS or Azure.
Expertise with SQL
Experience with use of large cross-sectional and time series data.
Experience analyzing textual data using the latest NLP techniques.
Substantial knowledge and understanding of statistical concepts.
Demonstrated exceptional oral and written communication skills.
The ability to work independently and in a team environment.
The ability to work effectively across functions, levels and disciplines.
Strong problem solving and critical thinking skills.
Superior team-working skills, and a desire to learn, contribute, and explore.

Data Scientist Jobs in Pasco, WA

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Data Scientist Jobs in Pasco, WA

Entry Level Python Programmerdata ScientistanalystApril 20, 2025

Data Scientistanalyst Support IiiApril 15, 2025

Senior Program Officer Senior Data ScientistApril 13, 2025

Data ScientistApril 12, 2025

Senior Level Data ScientistApril 7, 2025

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